Acer Nitro AN515-58
Geekbench AI Score
4135
Single Precision Score
5774
Half Precision Score
8398
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | December 26 2024 12:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2468
459.0 IPS |
|
|
Image Classification (HP)
|
100% |
3956
735.6 IPS |
|
|
Image Classification (Q)
|
99% |
4945
922.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6522
105.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7460
120.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10677
12.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
7852
9.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
31404
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
3495
277.3 IPS |
|
|
Object Detection (Q)
|
90% |
5545
443.4 IPS |
|
|
Face Detection (SP)
|
100% |
6577
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
10618
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
14918
177.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9848
75.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
14729
113.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19049
148.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26413
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38042
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
69057
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6345
234.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11480
425.1 IPS |
|
|
Text Classification (SP)
|
71% |
679
982.9 IPS |
|
|
Text Classification (HP)
|
71% |
1116
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1381
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1395
24.0 IPS |
