Acer Nitro ANV15-51
Geekbench AI Score
3661
Single Precision Score
1469
Half Precision Score
6731
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ksalahmari |
| Upload Date | December 17 2025 12:47 AM |
| Views | 10 |
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% |
2934
545.7 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
5470
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8025
130.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3829
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20630
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
86% |
5569
447.6 IPS |
|
|
Face Detection (SP)
|
100% |
5918
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
1519
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8629
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8243
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2051
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13442
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14190
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9440
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17659
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4780
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2739
55.0 IPS |
