Acer Predator PH315-55
Geekbench ML Score
11480
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2024 09:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5458
1.02 KIPS |
|
|
Image Classification (F16)
|
100% |
5670
1.06 KIPS |
|
|
Image Classification (I8)
|
100% |
4213
788.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8241
137.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8217
137.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6108
102.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
77903
94.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
77755
94.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
64226
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
4326
323.0 IPS |
|
|
Object Detection (F16)
|
100% |
4487
335.0 IPS |
|
|
Object Detection (I8)
|
63% |
3426
255.7 IPS |
|
|
Face Detection (F32)
|
100% |
17072
203.0 IPS |
|
|
Face Detection (F16)
|
100% |
17205
204.6 IPS |
|
|
Face Detection (I8)
|
89% |
12909
153.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
36796
285.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
37330
289.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
21282
165.0 IPS |
|
|
Style Transfer (F32)
|
100% |
140630
185.0 IPS |
|
|
Style Transfer (F16)
|
100% |
123229
162.1 IPS |
|
|
Style Transfer (I8)
|
98% |
98154
129.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20677
738.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21011
750.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13491
481.8 IPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1016
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2682
49.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2639
48.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1331
24.5 IPS |
