Acer Nitro AN515-46
Geekbench AI Score
2405
Single Precision Score
1154
Half Precision Score
4259
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Dante18mc |
| Upload Date | February 20 2026 09:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 6800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-46 |
| Motherboard | RB Jimny_RBH |
| Power Plan | Equilibrado |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (Q)
|
96% |
3655
682.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
4191
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3590
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
8508
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
58% |
2565
280.2 IPS |
|
|
Face Detection (SP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6414
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4947
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1806
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8584
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9199
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7780
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
13390
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3271
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1211
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1705
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2016
38.9 IPS |
