GIGABYTE GIGABYTE GAMING A16 CMH
Geekbench AI Score
14037
Single Precision Score
25047
Half Precision Score
11227
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 25 2025 03:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | GIGABYTE GIGABYTE GAMING A16 CMH |
| Motherboard | GIGABYTE GIGABYTE GAMING A16 CMH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5523
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
10135
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
5083
948.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9914
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13879
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9157
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66108
77.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
198868
232.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
55392
64.9 IPS |
|
|
Object Detection (SP)
|
100% |
7337
581.9 IPS |
|
|
Object Detection (HP)
|
100% |
12737
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
6560
529.1 IPS |
|
|
Face Detection (SP)
|
100% |
14948
177.6 IPS |
|
|
Face Detection (HP)
|
100% |
28576
339.5 IPS |
|
|
Face Detection (Q)
|
97% |
14955
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
31829
245.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
68917
531.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
26979
215.8 IPS |
|
|
Style Transfer (SP)
|
100% |
113905
146.4 IPS |
|
|
Style Transfer (HP)
|
100% |
297024
381.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96470
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22932
846.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38371
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17004
629.6 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3499
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1687
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1686
31.6 IPS |
