Acer Nitro AN515-58
Geekbench AI Score
16150
Single Precision Score
25856
Half Precision Score
10669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 05:51 AM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6242
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
8995
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
4651
864.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10837
175.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15665
253.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8599
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
84037
98.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
248207
289.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
68705
80.5 IPS |
|
|
Object Detection (SP)
|
100% |
8417
667.7 IPS |
|
|
Object Detection (HP)
|
100% |
12638
1.00 KIPS |
|
|
Object Detection (Q)
|
85% |
6267
504.5 IPS |
|
|
Face Detection (SP)
|
100% |
19756
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
29774
353.8 IPS |
|
|
Face Detection (Q)
|
97% |
15152
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
41125
316.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72557
559.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
27427
219.7 IPS |
|
|
Style Transfer (SP)
|
100% |
146872
188.8 IPS |
|
|
Style Transfer (HP)
|
100% |
366598
471.3 IPS |
|
|
Style Transfer (Q)
|
98% |
117654
151.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25935
957.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36175
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15560
576.1 IPS |
|
|
Text Classification (SP)
|
100% |
2531
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3271
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1264
23.7 IPS |
