Acer Nitro ANV15-52
Geekbench ML Score
2033
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 02:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro ANV15-52 |
| Motherboard | RPL Sportage_RTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1117
209.1 IPS |
|
|
Image Classification (F16)
|
100% |
1126
210.6 IPS |
|
|
Image Classification (I8)
|
99% |
1871
350.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
789
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2138
35.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3304
4.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
3260
3.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
10663
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1102
82.3 IPS |
|
|
Object Detection (F16)
|
100% |
1112
83.0 IPS |
|
|
Object Detection (I8)
|
62% |
1112
83.0 IPS |
|
|
Face Detection (F32)
|
100% |
1213
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
2122
25.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3457
26.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3591
27.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
7725
59.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7746
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
7612
10.0 IPS |
|
|
Style Transfer (I8)
|
98% |
9300
12.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1620
57.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1599
57.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2639
94.2 IPS |
|
|
Text Classification (F32)
|
100% |
1257
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1264
1.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1124
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1084
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1564
28.8 IPS |
