GIGABYTE GIGABYTE AERO X16 1VH
Geekbench AI Score
3483
Single Precision Score
1887
Half Precision Score
8514
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 18 2026 12:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GIGABYTE GIGABYTE AERO X16 1VH |
| Motherboard | GIGABYTE GIGABYTE AERO X16 1VH |
| 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% |
2803
521.3 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.0 IPS |
|
|
Image Classification (Q)
|
99% |
8035
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9731
158.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5221
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4480
5.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
21834
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (Q)
|
86% |
7399
594.6 IPS |
|
|
Face Detection (SP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
10321
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7032
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2828
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16470
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12691
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11948
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27971
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2323
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4875
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3364
67.6 IPS |
