Acer Nitro 5 Acer Nitro AN515-51
Geekbench AI Score
1242
Single Precision Score
411
Half Precision Score
1847
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | zurat |
| Upload Date | January 13 2026 12:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Acer Nitro AN515-51 |
| Motherboard | KBL Freed_KLS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
107
20.0 IPS |
|
|
Image Classification (Q)
|
94% |
1574
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1801
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1381
1.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
3108
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
58% |
1114
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
96% |
3590
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2216
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
3321
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4527
5.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3507
4.51 IPS |
|
|
Style Transfer (Q)
|
87% |
5524
7.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1016
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
403
537.5 IPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1226
23.7 IPS |
