AFOX B760D5-MA
Geekbench AI Score
13014
Single Precision Score
22770
Half Precision Score
8891
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | July 16 2025 07:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| 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% |
5614
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
9904
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
4197
782.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9353
151.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13653
221.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7447
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
59813
69.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
205251
239.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51172
60.0 IPS |
|
|
Object Detection (SP)
|
100% |
6362
504.6 IPS |
|
|
Object Detection (HP)
|
100% |
11303
896.6 IPS |
|
|
Object Detection (Q)
|
84% |
4874
393.1 IPS |
|
|
Face Detection (SP)
|
100% |
16625
197.5 IPS |
|
|
Face Detection (HP)
|
100% |
26128
310.5 IPS |
|
|
Face Detection (Q)
|
97% |
12350
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32123
247.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57315
441.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
22300
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
106606
137.0 IPS |
|
|
Style Transfer (HP)
|
100% |
242554
311.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88582
114.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18162
670.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30876
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11261
417.0 IPS |
|
|
Text Classification (SP)
|
100% |
2013
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3351
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1292
24.2 IPS |
