Acer Nitro AN515-45
Geekbench ML Score
8621
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 04 2025 04:25 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| 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 | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4600
860.8 IPS |
|
|
Image Classification (F16)
|
100% |
4637
867.6 IPS |
|
|
Image Classification (I8)
|
100% |
3288
615.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5227
87.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5257
87.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4456
74.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52923
64.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
61615
74.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
47744
57.8 IPS |
|
|
Object Detection (F32)
|
100% |
3676
274.4 IPS |
|
|
Object Detection (F16)
|
100% |
3726
278.2 IPS |
|
|
Object Detection (I8)
|
63% |
2987
223.0 IPS |
|
|
Face Detection (F32)
|
100% |
11826
140.6 IPS |
|
|
Face Detection (F16)
|
100% |
11827
140.6 IPS |
|
|
Face Detection (I8)
|
89% |
9406
111.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
21250
164.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27177
210.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
20556
159.4 IPS |
|
|
Style Transfer (F32)
|
100% |
92911
122.2 IPS |
|
|
Style Transfer (F16)
|
100% |
73386
96.5 IPS |
|
|
Style Transfer (I8)
|
98% |
69270
91.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17037
608.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14986
535.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9250
330.3 IPS |
|
|
Text Classification (F32)
|
100% |
1363
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
932
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
2224
40.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2311
42.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1290
23.7 IPS |
