VMware, Inc. VMware20,1
Geekbench AI Score
1022
Single Precision Score
1919
Half Precision Score
3622
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | sunjw8888 |
| Upload Date | February 08 2025 06:06 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Apple silicon |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | VMware, Inc. VBSA |
| CPU Information | |
|---|---|
| Name | Apple silicon |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 0 Revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.4 IPS |
|
|
Image Classification (Q)
|
99% |
3179
593.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1959
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2072
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
7116
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
99% |
1343
106.9 IPS |
|
|
Object Detection (Q)
|
86% |
3052
245.3 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
3923
46.6 IPS |
|
|
Face Detection (Q)
|
97% |
4228
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1065
8.20 IPS |
|
|
Depth Estimation (HP)
|
98% |
2289
17.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
6674
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4699
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
5377
6.91 IPS |
|
|
Style Transfer (Q)
|
98% |
14633
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1031
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2348
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
642
857.2 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1993
34.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2469
49.6 IPS |
