VMware, Inc. VMware Virtual Platform
Geekbench AI Score
211
Single Precision Score
209
Half Precision Score
132
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 09 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-10110U |
| 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 | Intel Core i3-10110U |
| Topology | 2 Processors, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (Q)
|
99% |
72
13.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
82
1.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
233
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
173
0.20 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.35 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (Q)
|
85% |
75
6.06 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (Q)
|
97% |
405
4.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
257
1.98 IPS |
|
|
Depth Estimation (Q)
|
63% |
153
1.43 IPS |
|
|
Style Transfer (SP)
|
100% |
463
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
525
0.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
96
3.56 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (HP)
|
100% |
184
246.0 IPS |
|
|
Text Classification (Q)
|
92% |
79
106.5 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
58% |
88
2.06 IPS |
