BB-H1-VC1: Windows 2022 ( 2x28 vCPU 2.7 Ghz 128 GB) VMware, Inc. VMware Virtual Platform
Geekbench AI Score
3146
Single Precision Score
919
Half Precision Score
3857
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | VincentDupont |
| Upload Date | July 11 2025 10:14 PM |
| Views | 11 |
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% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
99% |
2879
537.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
5808
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18375
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5703
6.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
36040
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
86% |
3179
255.5 IPS |
|
|
Face Detection (SP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
97% |
5634
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8721
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1146
8.83 IPS |
|
|
Depth Estimation (Q)
|
78% |
9395
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24918
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11891
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11980
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1768
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2667
98.7 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.8 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.4 IPS |
|
|
Text Classification (Q)
|
97% |
207
277.4 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
65% |
1089
21.9 IPS |
