GIGABYTE GIGABYTE AERO X16 1VH - Radeon 860M (DirectML) GIGABYTE GIGABYTE AERO X16 1VH
Geekbench AI Score
6309
Single Precision Score
9892
Half Precision Score
4858
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | griden |
| Upload Date | December 17 2025 10:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE GIGABYTE AERO X16 1VH |
| Motherboard | GIGABYTE GIGABYTE AERO X16 1VH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3241
602.7 IPS |
|
|
Image Classification (Q)
|
100% |
1909
355.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2865
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
34230
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
66796
77.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24232
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
2790
221.3 IPS |
|
|
Object Detection (Q)
|
87% |
1667
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
5406
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
9123
108.4 IPS |
|
|
Face Detection (Q)
|
97% |
4615
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14182
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22462
173.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11242
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55756
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95342
122.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39066
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10391
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18885
697.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6950
257.4 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1634
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1440
27.0 IPS |
