VMware, Inc. VMware20,1
Geekbench AI Score
23266
Single Precision Score
26769
Half Precision Score
17982
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gaoqiang |
| Upload Date | July 14 2025 06:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7800 48GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 6 Processors, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8840
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
9460
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
7009
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15750
255.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14164
229.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14202
230.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
206249
240.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
306120
357.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
190990
223.7 IPS |
|
|
Object Detection (SP)
|
100% |
9178
728.0 IPS |
|
|
Object Detection (HP)
|
99% |
9421
747.3 IPS |
|
|
Object Detection (Q)
|
87% |
8111
651.4 IPS |
|
|
Face Detection (SP)
|
100% |
27919
331.7 IPS |
|
|
Face Detection (HP)
|
100% |
29265
347.7 IPS |
|
|
Face Detection (Q)
|
97% |
24716
294.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
64194
494.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78761
606.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
50564
405.2 IPS |
|
|
Style Transfer (SP)
|
100% |
338893
435.7 IPS |
|
|
Style Transfer (HP)
|
100% |
506629
651.3 IPS |
|
|
Style Transfer (Q)
|
98% |
308174
397.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34595
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47476
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25467
943.0 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1616
30.3 IPS |
