Acer Nitro ANV15-41
Geekbench ML Score
2577
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 12:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro ANV15-41 |
| Motherboard | RB Sportage_RBH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 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% |
1609
301.1 IPS |
|
|
Image Classification (F16)
|
100% |
1646
308.0 IPS |
|
|
Image Classification (I8)
|
97% |
2780
520.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
562
9.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
544
9.09 IPS |
|
|
Image Segmentation (I8)
|
97% |
1893
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5767
6.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
5708
6.91 IPS |
|
|
Pose Estimation (I8)
|
100% |
11658
14.1 IPS |
|
|
Object Detection (F32)
|
100% |
1463
109.2 IPS |
|
|
Object Detection (F16)
|
100% |
1427
106.5 IPS |
|
|
Object Detection (I8)
|
60% |
1464
109.3 IPS |
|
|
Face Detection (F32)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (I8)
|
87% |
2930
34.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5996
46.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5920
45.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
9197
71.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12384
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12683
16.7 IPS |
|
|
Style Transfer (I8)
|
85% |
12522
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2238
79.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2338
83.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2682
95.8 IPS |
|
|
Text Classification (F32)
|
100% |
1988
2.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (I8)
|
94% |
383
550.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1774
32.7 IPS |
