VMware, Inc. VMware Virtual Platform
Geekbench AI Score
234
Single Precision Score
236
Half Precision Score
141
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 10 2025 05:30 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| 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 5700U |
| Topology | 2 Processors, 2 Cores |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 8.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.1 IPS |
|
|
Image Classification (Q)
|
99% |
86
16.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
111
1.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
256
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
200
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
85% |
85
6.81 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
97% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
63% |
175
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
464
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
434
0.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
119
4.41 IPS |
|
|
Text Classification (SP)
|
100% |
244
326.2 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.0 IPS |
|
|
Text Classification (Q)
|
92% |
99
133.0 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
58% |
100
2.36 IPS |
