GIGABYTE G5 KF
Geekbench AI Score
1551
Single Precision Score
1633
Half Precision Score
4225
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 30 2024 09:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
948
176.4 IPS |
|
|
Image Classification (HP)
|
100% |
1011
188.0 IPS |
|
|
Image Classification (Q)
|
100% |
3371
627.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3133
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
6800
7.97 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
1062
84.2 IPS |
|
|
Object Detection (Q)
|
88% |
3112
249.5 IPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
5616
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2065
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2454
18.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5289
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6047
7.77 IPS |
|
|
Style Transfer (HP)
|
100% |
6731
8.65 IPS |
|
|
Style Transfer (Q)
|
98% |
25491
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1519
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
568
758.7 IPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
3315
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
100% |
988
17.0 IPS |
