Acer Nitro 5 Acer Nitro AN515-51
Geekbench AI Score
616
Single Precision Score
610
Half Precision Score
382
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | zurat |
| Upload Date | January 13 2026 12:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
99% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
286
4.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
676
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (Q)
|
85% |
253
20.3 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
728
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
527
6.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
716
5.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
709
5.46 IPS |
|
|
Depth Estimation (Q)
|
63% |
517
4.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1056
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1065
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1396
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
408
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
361
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.5 IPS |
|
|
Text Classification (HP)
|
100% |
640
854.0 IPS |
|
|
Text Classification (Q)
|
92% |
225
301.6 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
58% |
186
4.37 IPS |
