GIGABYTE GIGABYTE AERO X16 1WH
Geekbench AI Score
3801
Single Precision Score
3775
Half Precision Score
10557
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GIGABYTE GIGABYTE AERO X16 1WH |
| Motherboard | GIGABYTE GIGABYTE AERO X16 1WH |
| Power Plan | Ausbalanciert |
| 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% |
2651
493.1 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.1 IPS |
|
|
Image Classification (Q)
|
100% |
8070
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6889
111.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3800
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3898
4.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
16258
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
2194
174.1 IPS |
|
|
Object Detection (Q)
|
88% |
6935
555.9 IPS |
|
|
Face Detection (SP)
|
100% |
5879
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
6305
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
15780
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5415
41.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
15976
124.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11134
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43896
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9373
347.1 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2791
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4824
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5485
94.5 IPS |
