VMware, Inc. VMware Virtual Platform
Geekbench AI Score
13
Single Precision Score
12
Half Precision Score
9
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | shalotaibi |
| Upload Date | April 11 2025 11:18 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 2 Processors, 2 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8
1.45 IPS |
|
|
Image Classification (HP)
|
100% |
5
0.95 IPS |
|
|
Image Classification (Q)
|
97% |
4
0.74 IPS |
|
|
Image Segmentation (SP)
|
100% |
7
0.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
7
0.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
6
0.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
11
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
8
0.66 IPS |
|
|
Object Detection (HP)
|
100% |
8
0.62 IPS |
|
|
Object Detection (Q)
|
87% |
7
0.52 IPS |
|
|
Face Detection (SP)
|
100% |
27
0.32 IPS |
|
|
Face Detection (HP)
|
100% |
26
0.31 IPS |
|
|
Face Detection (Q)
|
97% |
22
0.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
19
0.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
18
0.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
12
0.11 IPS |
|
|
Style Transfer (SP)
|
100% |
40
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
40
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
33
0.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9
0.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8
0.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6
0.23 IPS |
|
|
Text Classification (SP)
|
100% |
10
13.9 IPS |
|
|
Text Classification (HP)
|
100% |
10
13.8 IPS |
|
|
Text Classification (Q)
|
91% |
8
10.4 IPS |
|
|
Machine Translation (SP)
|
100% |
19
0.32 IPS |
|
|
Machine Translation (HP)
|
100% |
17
0.30 IPS |
|
|
Machine Translation (Q)
|
58% |
10
0.23 IPS |
