VMware, Inc. VMware7,1
Geekbench AI Score
24730
Single Precision Score
33065
Half Precision Score
19212
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 11:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA L40-16Q |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware7,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6442Y |
| Topology | 8 Processors, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8086
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
9062
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14988
243.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17644
286.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14449
234.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
209878
244.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
492894
575.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
191018
223.8 IPS |
|
|
Object Detection (SP)
|
100% |
11559
916.9 IPS |
|
|
Object Detection (HP)
|
100% |
13501
1.07 KIPS |
|
|
Object Detection (Q)
|
86% |
10202
819.6 IPS |
|
|
Face Detection (SP)
|
100% |
44141
524.5 IPS |
|
|
Face Detection (HP)
|
100% |
53462
635.2 IPS |
|
|
Face Detection (Q)
|
97% |
35979
429.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70890
546.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109977
847.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
46515
372.4 IPS |
|
|
Style Transfer (SP)
|
100% |
414484
532.8 IPS |
|
|
Style Transfer (HP)
|
100% |
742688
954.7 IPS |
|
|
Style Transfer (Q)
|
98% |
315272
406.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36019
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44836
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28377
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1701
31.9 IPS |
