Maxsun MS-Challenger B760M-N D5
Geekbench AI Score
3033
Single Precision Score
732
Half Precision Score
3883
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 18 2024 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Maxsun MS-Challenger B760M-N D5 |
| Motherboard | Maxsun MS-Challenger B760M-N D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| 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% |
1753
326.0 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
99% |
3336
622.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
2249
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5146
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
19000
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
1959
155.4 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
88% |
1880
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (Q)
|
97% |
4173
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6230
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.86 IPS |
|
|
Depth Estimation (Q)
|
76% |
8464
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12761
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8357
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21778
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3723
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
657
877.1 IPS |
|
|
Text Classification (Q)
|
97% |
494
662.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2057
45.9 IPS |
