Acer Nitro AN515-44
Geekbench AI Score
2051
Single Precision Score
2801
Half Precision Score
1480
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | December 16 2024 04:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (Q)
|
100% |
595
110.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10297
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20021
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7468
8.75 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
85% |
682
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1422
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2071
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4058
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5355
41.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3111
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18142
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29101
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
12247
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1952
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
590
790.5 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
70% |
440
8.26 IPS |
