Colorful Technology And Development Co.,LTD BATTLE-AX B760M-F PRO
Geekbench AI Score
4292
Single Precision Score
1632
Half Precision Score
6526
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 04:53 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Colorful Technology And Development Co.,LTD BATTLE-AX B760M-F PRO |
| Motherboard | Colorful Technology And Development Co.,LTD BATTLE-AX B760M-F PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3652
679.1 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
99% |
7141
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6783
110.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7759
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
25752
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3021
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
5846
469.8 IPS |
|
|
Face Detection (SP)
|
100% |
7157
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
1654
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
9732
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9460
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2133
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14864
118.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17472
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10937
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15175
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3202
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5660
209.6 IPS |
|
|
Text Classification (SP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
565
757.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2741
55.1 IPS |
