GIGABYTE G5 KF
Geekbench AI Score
14342
Single Precision Score
24833
Half Precision Score
11486
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 30 2024 09:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
5846
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
10661
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5622
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9312
151.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12364
200.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8547
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
66404
77.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
213148
248.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
61991
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
7203
571.3 IPS |
|
|
Object Detection (HP)
|
100% |
12920
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
6405
516.6 IPS |
|
|
Face Detection (SP)
|
100% |
17359
206.3 IPS |
|
|
Face Detection (HP)
|
100% |
25730
305.7 IPS |
|
|
Face Detection (Q)
|
97% |
15660
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32488
250.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71932
554.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
27748
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
126010
162.0 IPS |
|
|
Style Transfer (HP)
|
100% |
312921
402.3 IPS |
|
|
Style Transfer (Q)
|
98% |
112036
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23570
870.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39877
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17561
650.3 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3527
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1636
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1498
28.1 IPS |
