VMware, Inc. VMware Virtual Platform
Geekbench AI Score
221
Single Precision Score
277
Half Precision Score
101
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 10 2025 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 2 Processors, 2 Cores |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
238
44.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
133
0.16 IPS |
|
|
Object Detection (SP)
|
100% |
61
4.81 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.54 IPS |
|
|
Object Detection (Q)
|
85% |
39
3.12 IPS |
|
|
Face Detection (SP)
|
100% |
211
2.50 IPS |
|
|
Face Detection (HP)
|
100% |
160
1.90 IPS |
|
|
Face Detection (Q)
|
97% |
112
1.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
173
1.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
94
0.88 IPS |
|
|
Style Transfer (SP)
|
100% |
447
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
324
0.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
83
3.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
141
5.24 IPS |
|
|
Text Classification (SP)
|
100% |
60
79.7 IPS |
|
|
Text Classification (HP)
|
100% |
718
958.6 IPS |
|
|
Text Classification (Q)
|
92% |
20
26.9 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (Q)
|
58% |
34
0.80 IPS |
