Acer Shadow SH16-73
Geekbench AI Score
5534
Single Precision Score
1789
Half Precision Score
8674
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Clear119 |
| Upload Date | March 24 2025 12:04 PM |
| Views | 41 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
4739
881.4 IPS |
|
|
Image Classification (HP)
|
100% |
615
114.4 IPS |
|
|
Image Classification (Q)
|
99% |
9266
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4642
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13803
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7329
8.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
43898
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
3507
278.1 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
10303
828.1 IPS |
|
|
Face Detection (SP)
|
100% |
12124
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
1704
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
8444
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10857
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2248
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20835
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20627
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11968
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26549
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4305
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3915
78.7 IPS |
