Acer Predator PO3-650
Geekbench AI Score
4731
Single Precision Score
4830
Half Precision Score
10627
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 04:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PO3-650 |
| Motherboard | Acer Predator PO3-650 |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.1 IPS |
|
|
Image Classification (Q)
|
100% |
6295
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3750
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7094
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5741
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
20961
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (Q)
|
88% |
6682
535.7 IPS |
|
|
Face Detection (SP)
|
100% |
7999
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
8170
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
16927
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7362
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7427
57.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
18207
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17130
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17135
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
58646
75.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3528
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3622
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10999
407.3 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2829
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4075
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3628
62.5 IPS |
