GIGABYTE GIGABYTE AERO X16 1VH
Geekbench AI Score
3753
Single Precision Score
2063
Half Precision Score
9008
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | March 01 2026 09:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (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% |
2907
540.6 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (Q)
|
99% |
8271
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9838
160.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
4990
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
22772
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (HP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
86% |
8269
664.6 IPS |
|
|
Face Detection (SP)
|
100% |
5979
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.4 IPS |
|
|
Face Detection (Q)
|
97% |
10940
130.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7610
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3147
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17501
139.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14009
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12550
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31366
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2535
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1203
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2093
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3779
75.9 IPS |
