Acer Predator PH315-55
Geekbench AI Score
4984
Single Precision Score
6867
Half Precision Score
10809
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tm1981 |
| Upload Date | April 04 2025 07:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
3139
583.7 IPS |
|
|
Image Classification (HP)
|
100% |
4596
854.7 IPS |
|
|
Image Classification (Q)
|
99% |
6319
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4740
76.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7680
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11751
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10838
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
7997
9.33 IPS |
|
|
Pose Estimation (Q)
|
97% |
33376
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3034
240.6 IPS |
|
|
Object Detection (HP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (Q)
|
90% |
7743
619.1 IPS |
|
|
Face Detection (SP)
|
100% |
7970
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
12076
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
17876
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10389
80.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
16501
127.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
21892
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27534
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41119
52.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75052
96.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4533
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13068
484.0 IPS |
|
|
Text Classification (SP)
|
71% |
1188
1.72 KIPS |
|
|
Text Classification (HP)
|
71% |
1479
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1420
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2148
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2082
35.9 IPS |
