Acer Predator PTN16-51
Geekbench AI Score
4964
Single Precision Score
8013
Half Precision Score
3662
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PTN16-51 |
| Motherboard | MTL Leaf_MTH |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (HP)
|
100% |
4264
793.0 IPS |
|
|
Image Classification (Q)
|
100% |
2132
396.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3241
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7288
118.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2631
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14395
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21578
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12513
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2899
229.9 IPS |
|
|
Object Detection (HP)
|
99% |
5024
399.7 IPS |
|
|
Object Detection (Q)
|
86% |
2396
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
9421
111.9 IPS |
|
|
Face Detection (Q)
|
97% |
3620
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10312
79.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
21552
166.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
8115
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47127
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
77136
99.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33679
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7669
283.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12572
464.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.5 IPS |
|
|
Text Classification (SP)
|
86% |
813
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
730
974.6 IPS |
|
|
Text Classification (Q)
|
84% |
618
839.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2255
38.9 IPS |
|
|
Machine Translation (Q)
|
70% |
974
18.3 IPS |
