Acer Predator PHN14-51
Geekbench AI Score
2380
Single Precision Score
1063
Half Precision Score
3085
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Predator PHN14-51 |
| Motherboard | MTL Taycan_MTH |
| Power Plan | Acer |
| 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 | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
2313
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2009
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5384
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3414
3.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
19826
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
88% |
1421
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
2685
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5130
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6007
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12256
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8776
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13973
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2162
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2930
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
1183
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.8 IPS |
|
|
Text Classification (Q)
|
97% |
455
609.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1988
44.4 IPS |
