System manufacturer System Product Name
Geekbench AI Score
2044
Single Precision Score
957
Half Precision Score
2572
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neph |
| Upload Date | June 26 2025 01:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B360-I GAMING |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
96% |
3147
587.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
1595
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2762
3.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
6955
8.22 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
58% |
1827
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
96% |
4326
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4321
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1339
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5769
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8375
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6464
8.31 IPS |
|
|
Style Transfer (Q)
|
87% |
7202
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1975
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
1399
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.5 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1272
24.6 IPS |
