GIGABYTE GIGABYTE AERO X16 1WH
Geekbench AI Score
20449
Single Precision Score
39005
Half Precision Score
15966
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| 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% |
8743
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
15784
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
7921
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15200
246.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23203
376.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14035
228.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
104580
122.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
327249
381.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
96232
112.7 IPS |
|
|
Object Detection (SP)
|
100% |
10829
859.0 IPS |
|
|
Object Detection (HP)
|
100% |
19832
1.57 KIPS |
|
|
Object Detection (Q)
|
83% |
9432
762.0 IPS |
|
|
Face Detection (SP)
|
100% |
27628
328.3 IPS |
|
|
Face Detection (HP)
|
100% |
45759
543.7 IPS |
|
|
Face Detection (Q)
|
97% |
23508
280.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47236
363.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110694
852.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
39391
314.4 IPS |
|
|
Style Transfer (SP)
|
100% |
149845
192.6 IPS |
|
|
Style Transfer (HP)
|
100% |
514776
661.8 IPS |
|
|
Style Transfer (Q)
|
98% |
131215
169.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29323
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59908
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22748
842.3 IPS |
|
|
Text Classification (SP)
|
100% |
3343
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1801
33.8 IPS |
