System manufacturer System Product Name
Geekbench AI Score
1652
Single Precision Score
1651
Half Precision Score
2207
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 14 2025 06:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-7320 CPU @ 4.10GHz |
| 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 i3-7320 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (HP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (Q)
|
100% |
1420
264.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1572
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1779
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1781
2.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
3216
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
932
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (Q)
|
87% |
1472
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
3745
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2397
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2386
18.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
3816
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5236
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5233
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
9160
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1934
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (Q)
|
91% |
529
710.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1945
33.5 IPS |
