AFOX B760D5-MA
Geekbench AI Score
3393
Single Precision Score
1386
Half Precision Score
5944
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | July 16 2025 06:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | AFOX B760D5-MA |
| Motherboard | AFOX B760D5-MA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
5141
958.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2882
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5205
6.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
18315
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
5520
443.7 IPS |
|
|
Face Detection (SP)
|
100% |
6564
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
8229
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7089
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1919
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12557
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12640
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9171
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21216
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3629
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.1 IPS |
|
|
Text Classification (Q)
|
97% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3026
60.8 IPS |
