Acer Nitro AN517-55
Geekbench ML Score
9956
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 09:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN517-55 |
| Motherboard | ADL Ignis_ADH |
| Power Plan | Camomile |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4150
776.5 IPS |
|
|
Image Classification (F16)
|
100% |
4190
784.1 IPS |
|
|
Image Classification (I8)
|
100% |
3002
561.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7085
118.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7384
123.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6346
106.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
66664
80.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
71230
86.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64443
78.0 IPS |
|
|
Object Detection (F32)
|
100% |
2844
212.3 IPS |
|
|
Object Detection (F16)
|
100% |
3084
230.2 IPS |
|
|
Object Detection (I8)
|
61% |
2607
194.6 IPS |
|
|
Face Detection (F32)
|
100% |
12560
149.3 IPS |
|
|
Face Detection (F16)
|
100% |
13977
166.2 IPS |
|
|
Face Detection (I8)
|
89% |
11158
132.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27617
214.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
27296
211.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
23825
184.8 IPS |
|
|
Style Transfer (F32)
|
100% |
111226
146.3 IPS |
|
|
Style Transfer (F16)
|
100% |
110330
145.1 IPS |
|
|
Style Transfer (I8)
|
98% |
98980
130.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20003
714.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18218
650.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15651
558.9 IPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2113
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1073
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
2167
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2244
41.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1303
24.0 IPS |
