GIGABYTE G5 KF
Geekbench AI Score
1700
Single Precision Score
693
Half Precision Score
2798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 18 2024 10:24 PM |
| Views | 3 |
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% |
1534
285.3 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (Q)
|
99% |
2935
547.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1562
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1830
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1325
1.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
5926
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
86% |
2613
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (Q)
|
97% |
4612
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3113
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
932
7.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
8234
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5855
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3699
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
10627
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2422
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.8 IPS |
|
|
Text Classification (Q)
|
97% |
357
478.0 IPS |
|
|
Machine Translation (SP)
|
100% |
909
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
65% |
1189
23.9 IPS |
