Acer Predator PH315-55
Geekbench AI Score
13050
Single Precision Score
22924
Half Precision Score
9103
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tm1981 |
| Upload Date | April 04 2025 07:07 PM |
| Views | 3 |
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 | Acer |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4616
858.5 IPS |
|
|
Image Classification (HP)
|
99% |
8664
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
3508
654.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9276
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14432
234.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7384
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
63110
73.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
178197
207.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
55675
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
6155
488.2 IPS |
|
|
Object Detection (HP)
|
100% |
11601
920.2 IPS |
|
|
Object Detection (Q)
|
85% |
5348
430.5 IPS |
|
|
Face Detection (SP)
|
100% |
15420
183.2 IPS |
|
|
Face Detection (HP)
|
100% |
26708
317.4 IPS |
|
|
Face Detection (Q)
|
97% |
12846
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31035
239.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62894
484.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
21890
175.3 IPS |
|
|
Style Transfer (SP)
|
100% |
110179
141.6 IPS |
|
|
Style Transfer (HP)
|
100% |
286685
368.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90585
116.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19248
710.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32610
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12643
468.1 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1364
25.6 IPS |
