VMware, Inc. VMware Virtual Platform
Geekbench AI Score
1426
Single Precision Score
1326
Half Precision Score
940
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | mmalharbi |
| Upload Date | April 10 2025 02:53 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1071
199.2 IPS |
|
|
Image Classification (HP)
|
100% |
922
171.5 IPS |
|
|
Image Classification (Q)
|
99% |
586
109.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1849
2.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
2200
2.58 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (Q)
|
85% |
651
52.4 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1543
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1748
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1268
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1998
2.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3718
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1027
38.1 IPS |
|
|
Text Classification (SP)
|
100% |
732
977.4 IPS |
|
|
Text Classification (HP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
321
430.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
58% |
385
9.05 IPS |
