Acer Nitro ANV15-52
Geekbench ML Score
9782
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 02:31 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 | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4449
832.5 IPS |
|
|
Image Classification (F16)
|
100% |
4074
762.4 IPS |
|
|
Image Classification (I8)
|
100% |
4342
812.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5737
95.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5898
98.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5700
95.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
59077
71.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
59393
71.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
59254
71.8 IPS |
|
|
Object Detection (F32)
|
100% |
3661
273.3 IPS |
|
|
Object Detection (F16)
|
100% |
3777
282.0 IPS |
|
|
Object Detection (I8)
|
60% |
3572
266.7 IPS |
|
|
Face Detection (F32)
|
100% |
11797
140.3 IPS |
|
|
Face Detection (F16)
|
100% |
12089
143.7 IPS |
|
|
Face Detection (I8)
|
89% |
11012
130.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
31146
241.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
31139
241.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
26772
207.6 IPS |
|
|
Style Transfer (F32)
|
100% |
92010
121.0 IPS |
|
|
Style Transfer (F16)
|
100% |
92811
122.1 IPS |
|
|
Style Transfer (I8)
|
98% |
80728
106.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15468
552.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15683
560.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13898
496.4 IPS |
|
|
Text Classification (F32)
|
100% |
2350
3.38 KIPS |
|
|
Text Classification (F16)
|
100% |
2413
3.47 KIPS |
|
|
Text Classification (I8)
|
98% |
1425
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1849
34.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1894
34.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1235
22.7 IPS |
