Acer Nitro AN14-41
Geekbench ML Score
11581
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:22 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 | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6035
1.13 KIPS |
|
|
Image Classification (F16)
|
100% |
6317
1.18 KIPS |
|
|
Image Classification (I8)
|
100% |
5752
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7659
127.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
8125
135.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6759
112.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
65066
78.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
65586
79.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
58185
70.5 IPS |
|
|
Object Detection (F32)
|
100% |
3878
289.5 IPS |
|
|
Object Detection (F16)
|
100% |
4002
298.8 IPS |
|
|
Object Detection (I8)
|
61% |
3618
270.1 IPS |
|
|
Face Detection (F32)
|
100% |
15204
180.8 IPS |
|
|
Face Detection (F16)
|
100% |
16846
200.3 IPS |
|
|
Face Detection (I8)
|
89% |
13390
159.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
27824
215.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35650
276.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
22650
175.6 IPS |
|
|
Style Transfer (F32)
|
100% |
110182
144.9 IPS |
|
|
Style Transfer (F16)
|
100% |
102237
134.5 IPS |
|
|
Style Transfer (I8)
|
98% |
91268
120.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20006
714.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20513
732.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14633
522.6 IPS |
|
|
Text Classification (F32)
|
100% |
2194
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2207
3.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1384
1.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
3393
62.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3353
61.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1756
32.3 IPS |
