Acer Nitro AN515-45
Geekbench AI Score
3660
Single Precision Score
3627
Half Precision Score
6142
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 06 2025 08:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2480
461.2 IPS |
|
|
Image Classification (HP)
|
100% |
2456
456.7 IPS |
|
|
Image Classification (Q)
|
100% |
4438
825.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4787
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
11060
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (Q)
|
87% |
4462
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
12113
144.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6295
48.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11233
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13416
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13797
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31397
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6479
240.0 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3679
63.4 IPS |
