VMware, Inc. VMware Virtual Platform
Geekbench AI Score
1475
Single Precision Score
1465
Half Precision Score
1265
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | dayfan |
| Upload Date | April 20 2025 05:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 2 Processors, 24 Cores |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
967
179.8 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.3 IPS |
|
|
Image Classification (Q)
|
99% |
691
128.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2190
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
3608
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (Q)
|
85% |
986
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1994
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1712
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1597
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2372
3.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2372
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
5328
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
997
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1251
46.4 IPS |
|
|
Text Classification (SP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
419
563.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1587
27.3 IPS |
|
|
Machine Translation (Q)
|
58% |
466
11.0 IPS |
