VMware, Inc. VMware20,1
Geekbench AI Score
31709
Single Precision Score
44413
Half Precision Score
24044
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 07 2024 07:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA L40-48Q |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9534 |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 2.45 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11149
2.07 KIPS |
|
|
Image Classification (HP)
|
99% |
14152
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
9453
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21465
348.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
26675
432.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20470
332.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
253006
295.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
592380
691.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
224529
262.9 IPS |
|
|
Object Detection (SP)
|
100% |
16107
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
20416
1.62 KIPS |
|
|
Object Detection (Q)
|
89% |
12962
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
43937
522.1 IPS |
|
|
Face Detection (HP)
|
100% |
54531
648.0 IPS |
|
|
Face Detection (Q)
|
97% |
36964
440.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
80491
620.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
132515
1.02 KIPS |
|
|
Depth Estimation (Q)
|
76% |
58950
473.9 IPS |
|
|
Style Transfer (SP)
|
100% |
487469
626.6 IPS |
|
|
Style Transfer (HP)
|
100% |
960926
1.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
420764
542.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47976
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62914
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36652
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3177
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4713
81.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1975
44.1 IPS |
