GIGABYTE G5 KF
Geekbench AI Score
635
Single Precision Score
625
Half Precision Score
392
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 30 2024 09:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
100% |
239
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
286
4.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2156
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
1140
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
98% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
86% |
253
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
440
5.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1201
9.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
823
6.60 IPS |
|
|
Style Transfer (SP)
|
100% |
4668
6.00 IPS |
|
|
Style Transfer (HP)
|
100% |
6030
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
3035
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
299
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.4 IPS |
|
|
Text Classification (HP)
|
100% |
85
113.1 IPS |
|
|
Text Classification (Q)
|
97% |
114
152.5 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
70% |
117
2.20 IPS |
