VMware, Inc. VMware Virtual Platform
Geekbench AI Score
686
Single Precision Score
672
Half Precision Score
433
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | ramabandarAl-matrafi |
| Upload Date | April 12 2025 09:37 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-10510U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10510U |
| Topology | 4 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 2.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
5.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
940
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
714
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
85% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (HP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
638
7.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
792
6.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
63% |
532
4.99 IPS |
|
|
Style Transfer (SP)
|
100% |
1087
1.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1120
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1452
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
428
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.1 IPS |
|
|
Text Classification (HP)
|
100% |
731
976.2 IPS |
|
|
Text Classification (Q)
|
92% |
235
315.1 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
58% |
229
5.39 IPS |
