Acer Nitro AN515-57
Geekbench AI Score
2604
Single Precision Score
1286
Half Precision Score
3985
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | turpout84 |
| Upload Date | November 08 2024 05:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1653
307.5 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
3122
582.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4908
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3928
4.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
15893
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
88% |
1868
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
3910
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6846
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11302
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9001
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
17186
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3443
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.2 IPS |
|
|
Text Classification (Q)
|
97% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1816
40.5 IPS |
