GIGABYTE G5 GE
Geekbench AI Score
2905
Single Precision Score
1161
Half Precision Score
5150
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 11:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE G5 GE |
| Motherboard | GIGABYTE G5 GE |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
4158
775.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2547
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4824
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
14486
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
86% |
4687
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
7351
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5997
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10877
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10679
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7996
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16040
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1270
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
532
710.3 IPS |
|
|
Text Classification (Q)
|
97% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2619
52.6 IPS |
