System manufacturer System Product Name
Geekbench AI Score
1114
Single Precision Score
634
Half Precision Score
1617
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
96% |
1477
275.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
1202
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1527
1.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
3403
4.02 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
58% |
976
106.7 IPS |
|
|
Face Detection (SP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
576
6.85 IPS |
|
|
Face Detection (Q)
|
96% |
2615
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2136
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
931
7.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
3301
26.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4377
5.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
87% |
4799
6.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
511
682.6 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.5 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.33 IPS |
|
|
Machine Translation (Q)
|
68% |
970
18.7 IPS |
