Acer Predator PH315-55
Geekbench AI Score
9387
Single Precision Score
13965
Half Precision Score
6786
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tlong4815162342 |
| Upload Date | February 28 2025 04:31 AM |
| Views | 4 |
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% |
4334
806.0 IPS |
|
|
Image Classification (HP)
|
100% |
4572
850.3 IPS |
|
|
Image Classification (Q)
|
99% |
3239
604.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6472
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7558
122.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5400
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37609
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
174195
203.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34658
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
5444
431.8 IPS |
|
|
Object Detection (HP)
|
100% |
6076
482.0 IPS |
|
|
Object Detection (Q)
|
85% |
4160
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
10859
129.0 IPS |
|
|
Face Detection (HP)
|
100% |
12059
143.3 IPS |
|
|
Face Detection (Q)
|
97% |
8742
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21201
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
30883
237.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16840
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
70837
91.1 IPS |
|
|
Style Transfer (HP)
|
100% |
193829
249.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61926
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13692
505.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22397
827.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9640
357.0 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (Q)
|
97% |
853
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2364
40.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1097
20.6 IPS |
