VMware, Inc. VMware Virtual Platform
Geekbench AI Score
250
Single Precision Score
209
Half Precision Score
145
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Hsmaksood |
| Upload Date | April 11 2025 12:45 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| 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 i7-1360P |
| Topology | 2 Processors, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
113
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.68 IPS |
|
|
Image Classification (Q)
|
99% |
52
9.75 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
121
1.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
265
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
164
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.10 IPS |
|
|
Object Detection (HP)
|
100% |
96
7.61 IPS |
|
|
Object Detection (Q)
|
85% |
63
5.04 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (Q)
|
97% |
201
2.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
203
1.57 IPS |
|
|
Depth Estimation (Q)
|
63% |
129
1.21 IPS |
|
|
Style Transfer (SP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
966
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.27 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.2 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.1 IPS |
|
|
Text Classification (Q)
|
92% |
114
153.4 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (Q)
|
58% |
116
2.72 IPS |
