Acer Nitro AN515-44
Geekbench AI Score
7042
Single Precision Score
5700
Half Precision Score
5373
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 16 2024 04:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-44 |
| Motherboard | RO Stonic_RNS |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3017
561.1 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
99% |
2648
493.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3531
57.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3545
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28816
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18471
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25541
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (Q)
|
83% |
2977
240.6 IPS |
|
|
Face Detection (SP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
6377
75.8 IPS |
|
|
Face Detection (Q)
|
97% |
6354
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18281
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13420
103.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14077
112.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53538
68.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36673
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45772
59.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10523
388.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7987
294.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7143
264.5 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1459
1.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1661
28.7 IPS |
|
|
Machine Translation (Q)
|
70% |
927
17.4 IPS |
