System manufacturer System Product Name
Geekbench AI Score
1556
Single Precision Score
1554
Half Precision Score
2088
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 16 2025 09:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-7100 CPU @ 3.90GHz |
| 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 i3-7100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.2 IPS |
|
|
Image Classification (Q)
|
100% |
1336
248.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1485
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
3041
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.5 IPS |
|
|
Object Detection (Q)
|
87% |
1403
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
3551
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2265
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2269
17.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
3600
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4937
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4916
6.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8658
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1837
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (Q)
|
91% |
498
669.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1841
31.7 IPS |
