Acer Predator PH315-55
Geekbench AI Score
9004
Single Precision Score
13843
Half Precision Score
6769
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tlong4815162342 |
| Upload Date | February 26 2025 05:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PH315-55 |
| Motherboard | ADL Evoque_ADH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3311
615.8 IPS |
|
|
Image Classification (HP)
|
100% |
4490
835.0 IPS |
|
|
Image Classification (Q)
|
99% |
3047
568.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6332
102.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7373
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5397
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37668
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
166765
194.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32853
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
4872
386.5 IPS |
|
|
Object Detection (HP)
|
100% |
6196
491.5 IPS |
|
|
Object Detection (Q)
|
85% |
4226
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
11045
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
11344
134.8 IPS |
|
|
Face Detection (Q)
|
97% |
9353
111.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21676
167.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29802
229.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16092
128.9 IPS |
|
|
Style Transfer (SP)
|
100% |
70208
90.3 IPS |
|
|
Style Transfer (HP)
|
100% |
211644
272.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63837
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13909
513.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22907
845.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9542
353.3 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2333
40.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1115
20.9 IPS |
