Acer Nitro ANV15-52
Geekbench ML Score
1407
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 02:28 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 | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
711
133.1 IPS |
|
|
Image Classification (F16)
|
100% |
688
128.7 IPS |
|
|
Image Classification (I8)
|
100% |
587
109.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1004
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
724
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5282
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
5211
6.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
3368
4.08 IPS |
|
|
Object Detection (F32)
|
100% |
801
59.8 IPS |
|
|
Object Detection (F16)
|
100% |
807
60.3 IPS |
|
|
Object Detection (I8)
|
54% |
672
50.2 IPS |
|
|
Face Detection (F32)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (F16)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (I8)
|
89% |
783
9.30 IPS |
|
|
Depth Estimation (F32)
|
100% |
3219
25.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3219
25.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2427
18.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12586
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12356
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
8091
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2095
74.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2115
75.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1017
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
591
849.4 IPS |
|
|
Text Classification (F16)
|
100% |
703
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
343
492.9 IPS |
|
|
Machine Translation (F32)
|
100% |
648
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
651
12.0 IPS |
|
|
Machine Translation (I8)
|
70% |
391
7.19 IPS |
