Acer Nitro AN515-58
Geekbench AI Score
2910
Single Precision Score
1190
Half Precision Score
4195
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 05:50 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
455.9 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
99% |
4782
891.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5171
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
16310
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
4005
321.9 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6547
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6173
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1649
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10792
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11489
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7822
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11826
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2268
83.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3312
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
626
836.1 IPS |
|
|
Text Classification (Q)
|
97% |
446
597.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2051
41.2 IPS |
