Acer Nitro AN515-58
Geekbench AI Score
15332
Single Precision Score
24504
Half Precision Score
9714
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 03:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-58 |
| Motherboard | ADL Jimny_ADH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5711
1.06 KIPS |
|
|
Image Classification (HP)
|
99% |
8594
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
4073
757.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9958
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14054
227.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8082
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83455
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
237157
276.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66824
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
7461
591.8 IPS |
|
|
Object Detection (HP)
|
100% |
11135
883.2 IPS |
|
|
Object Detection (Q)
|
85% |
6046
486.7 IPS |
|
|
Face Detection (SP)
|
100% |
17940
213.2 IPS |
|
|
Face Detection (HP)
|
100% |
27620
328.2 IPS |
|
|
Face Detection (Q)
|
97% |
13658
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37774
291.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70108
540.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23358
187.1 IPS |
|
|
Style Transfer (SP)
|
100% |
142611
183.3 IPS |
|
|
Style Transfer (HP)
|
100% |
350586
450.7 IPS |
|
|
Style Transfer (Q)
|
98% |
110861
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24244
895.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32636
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13417
496.8 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1072
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.7 IPS |
