VMware, Inc. VMware7,1
Geekbench AI Score
1371
Single Precision Score
1322
Half Precision Score
2369
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sso7746 |
| Upload Date | February 18 2025 12:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10105 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise N LTSC (64-bit) |
| Model | VMware, Inc. VMware7,1 |
| 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 | 4.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (Q)
|
100% |
1145
212.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1453
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
4037
4.73 IPS |
|
|
Object Detection (SP)
|
100% |
785
62.2 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
87% |
1698
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
1342
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
3647
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2092
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2109
16.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
4610
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5925
7.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5815
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
10782
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2466
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (Q)
|
91% |
941
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1164
20.1 IPS |
