Acer Nitro AN517-42
Geekbench AI Score
3372
Single Precision Score
1489
Half Precision Score
4243
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 02:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Acer Nitro AN517-42 |
| Motherboard | RB Ignis_RBH |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
96% |
5006
934.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
3564
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4991
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4746
5.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
11520
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2850
226.1 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
58% |
2544
278.0 IPS |
|
|
Face Detection (SP)
|
100% |
4746
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (Q)
|
96% |
7131
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7861
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10406
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13375
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11516
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
16125
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2397
88.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3927
145.5 IPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
404
541.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1908
36.9 IPS |
