Acer Nitro AN14-41
Geekbench ML Score
2906
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN14-41 |
| Motherboard | HWK ID5_HKH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| 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% |
1509
282.3 IPS |
|
|
Image Classification (F16)
|
100% |
1537
287.6 IPS |
|
|
Image Classification (I8)
|
99% |
3774
706.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
950
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
955
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2045
34.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4594
5.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
5760
6.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
18037
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1403
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
1248
93.2 IPS |
|
|
Object Detection (I8)
|
62% |
1346
100.5 IPS |
|
|
Face Detection (F32)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (F16)
|
100% |
2461
29.3 IPS |
|
|
Face Detection (I8)
|
89% |
4158
49.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5976
46.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6330
49.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
14156
109.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12200
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12241
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
20728
27.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2232
79.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2113
75.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3028
108.1 IPS |
|
|
Text Classification (F32)
|
100% |
1729
2.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1724
2.48 KIPS |
|
|
Text Classification (I8)
|
98% |
373
536.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1751
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1715
31.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2189
40.3 IPS |
