System manufacturer System Product Name
Geekbench AI Score
1371
Single Precision Score
1367
Half Precision Score
1823
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 14 2025 10:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-7100T CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-7100T |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (HP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (Q)
|
100% |
1174
218.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1463
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
2659
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
87% |
1227
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
3094
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1984
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1992
15.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3149
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4331
5.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4327
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
7566
9.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1603
59.4 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
91% |
424
570.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1630
28.1 IPS |
