Acer Nitro AN517-51
Geekbench AI Score
2201
Single Precision Score
2212
Half Precision Score
3317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 27 2025 07:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9300H CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Acer Nitro AN517-51 |
| Motherboard | CFL Superb_CFS |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
100% |
2125
395.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2301
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
4693
5.50 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
87% |
2082
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
5470
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3391
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3434
26.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5520
43.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7507
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7587
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13610
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2860
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
1211
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2377
40.9 IPS |
