Acer Nitro AN515-58
Geekbench AI Score
2886
Single Precision Score
1120
Half Precision Score
4087
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | December 26 2024 12:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-58 |
| Motherboard | ADL Jimny_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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
414
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
3948
736.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1957
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5000
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3164
3.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
16331
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
3840
308.6 IPS |
|
|
Face Detection (SP)
|
100% |
5321
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
6052
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6275
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10181
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11669
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7660
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
17521
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3116
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
536
716.1 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1981
39.8 IPS |
