Acer Shadow SH16-73
Geekbench AI Score
25861
Single Precision Score
44858
Half Precision Score
20190
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clear119 |
| Upload Date | March 25 2025 01:56 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
10852
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
17775
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9615
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19998
324.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30414
493.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18155
295.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
123339
143.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
353718
412.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
110144
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
13310
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
23767
1.89 KIPS |
|
|
Object Detection (Q)
|
86% |
11141
895.1 IPS |
|
|
Face Detection (SP)
|
100% |
37439
444.9 IPS |
|
|
Face Detection (HP)
|
100% |
57392
681.9 IPS |
|
|
Face Detection (Q)
|
97% |
31876
380.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
59583
459.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112059
863.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
47657
380.7 IPS |
|
|
Style Transfer (SP)
|
100% |
238510
306.6 IPS |
|
|
Style Transfer (HP)
|
100% |
731266
940.1 IPS |
|
|
Style Transfer (Q)
|
98% |
193122
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36146
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61996
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29764
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5943
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2894
54.3 IPS |
