GIGABYTE G5 KF
Geekbench AI Score
997
Single Precision Score
456
Half Precision Score
2030
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 30 2024 08:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GIGABYTE G5 KF |
| Motherboard | GIGABYTE G5 KF |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
807
150.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
419
6.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
1186
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
4733
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
86% |
2645
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (Q)
|
97% |
4699
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
721
5.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
6004
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4129
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3065
3.94 IPS |
|
|
Style Transfer (Q)
|
98% |
9321
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1114
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
456
609.0 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (Q)
|
97% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.50 IPS |
|
|
Machine Translation (Q)
|
65% |
954
19.2 IPS |
