Acer Shadow SH16-73
Geekbench AI Score
4208
Single Precision Score
6025
Half Precision Score
2872
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clear119 |
| Upload Date | March 25 2025 01:59 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Shadow SH16-73 |
| Motherboard | Acer Shadow SH16-73 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2574
478.6 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.5 IPS |
|
|
Image Classification (Q)
|
99% |
1874
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5137
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2169
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8069
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16031
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7095
8.31 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
4342
344.4 IPS |
|
|
Object Detection (Q)
|
86% |
1971
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (Q)
|
97% |
3486
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14463
111.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6351
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39756
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19431
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2996
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.4 IPS |
|
|
Text Classification (Q)
|
97% |
633
847.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2106
36.4 IPS |
|
|
Machine Translation (Q)
|
70% |
825
15.5 IPS |
