Acer Nitro ANV15-51
Geekbench AI Score
3459
Single Precision Score
1411
Half Precision Score
6469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ksalahmari |
| Upload Date | December 17 2025 12:25 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro ANV15-51 |
| Motherboard | RPL Sportage_RTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2726
507.0 IPS |
|
|
Image Classification (HP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (Q)
|
99% |
5124
955.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7704
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5701
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
18728
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
5432
436.5 IPS |
|
|
Face Detection (SP)
|
100% |
5852
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
7973
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1992
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12626
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13137
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9188
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17329
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
714
952.4 IPS |
|
|
Text Classification (Q)
|
97% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2638
53.0 IPS |
