VMware, Inc. VMware Virtual Platform
Geekbench AI Score
118
Single Precision Score
117
Half Precision Score
102
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | HSalthagafi |
| Upload Date | April 10 2025 09:57 AM |
| Views | 14 |
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 | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
42
7.72 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.69 IPS |
|
|
Image Classification (Q)
|
99% |
39
7.19 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
154
2.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
585
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.36 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.37 IPS |
|
|
Object Detection (Q)
|
85% |
46
3.67 IPS |
|
|
Face Detection (SP)
|
100% |
219
2.60 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
97% |
216
2.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.92 IPS |
|
|
Depth Estimation (Q)
|
63% |
185
1.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1459
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1412
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1532
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
121
4.47 IPS |
|
|
Text Classification (SP)
|
100% |
11
15.0 IPS |
|
|
Text Classification (HP)
|
100% |
12
15.7 IPS |
|
|
Text Classification (Q)
|
92% |
8
11.3 IPS |
|
|
Machine Translation (SP)
|
100% |
18
0.31 IPS |
|
|
Machine Translation (HP)
|
100% |
18
0.31 IPS |
|
|
Machine Translation (Q)
|
58% |
13
0.32 IPS |
