BB-H1-VC1: Windows 2022 ( 2x28 vCPU 2.7 Ghz 128 GB) VMware, Inc. VMware Virtual Platform
Geekbench AI Score
3388
Single Precision Score
978
Half Precision Score
4102
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | VincentDupont |
| Upload Date | July 11 2025 09:36 PM |
| Views | 20 |
| Notes | Windows 2022 4x8 CPU 64 GB With reservation: - CPU: 0 Ghz - Memory : 0 GB Node: VxRail E560F CPU: 2x Intel Xeon Gold 6258R @ 2.7Ghz |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6258R |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6258R |
| Topology | 2 Processors, 56 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 56 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
99% |
3070
572.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
6176
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22582
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7850
9.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
41864
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
3357
269.8 IPS |
|
|
Face Detection (SP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
97% |
5843
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9657
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1213
9.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
10220
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28077
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11704
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12575
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2831
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
547
730.3 IPS |
|
|
Text Classification (HP)
|
100% |
336
447.9 IPS |
|
|
Text Classification (Q)
|
97% |
206
276.4 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1158
23.3 IPS |
