GIGABYTE G5 MF5
Geekbench AI Score
2312
Single Precision Score
1000
Half Precision Score
3501
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 15 2025 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE G5 MF5 |
| Motherboard | GIGABYTE G5 MF5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (HP)
|
100% |
371
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
4201
783.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1678
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3517
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2563
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
11268
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
2631
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3564
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
886
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
4159
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4100
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1139
8.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
7129
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9087
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (Q)
|
98% |
13264
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3303
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.0 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2298
46.2 IPS |
