VMware, Inc. VMware20,1
Geekbench AI Score
1630
Single Precision Score
1632
Half Precision Score
2862
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sso7746 |
| Upload Date | December 30 2024 04:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10105 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1136
211.2 IPS |
|
|
Image Classification (HP)
|
100% |
1032
191.9 IPS |
|
|
Image Classification (Q)
|
100% |
1939
360.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2041
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2258
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
4443
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (Q)
|
87% |
1862
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
4878
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2448
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4989
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6673
8.58 IPS |
|
|
Style Transfer (HP)
|
100% |
6804
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13150
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
91% |
999
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1351
23.3 IPS |
