Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench ML Score
5160
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 05:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2869
536.9 IPS |
|
|
Image Classification (F16)
|
100% |
2844
532.1 IPS |
|
|
Image Classification (I8)
|
100% |
2400
449.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2587
43.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2680
44.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2309
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
38804
47.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
38780
47.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
28243
34.2 IPS |
|
|
Object Detection (F32)
|
100% |
1742
130.0 IPS |
|
|
Object Detection (F16)
|
100% |
1824
136.1 IPS |
|
|
Object Detection (I8)
|
62% |
1680
125.4 IPS |
|
|
Face Detection (F32)
|
100% |
5520
65.6 IPS |
|
|
Face Detection (F16)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (I8)
|
89% |
4249
50.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14917
115.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14885
115.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
12603
97.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29312
38.6 IPS |
|
|
Style Transfer (F16)
|
100% |
29950
39.4 IPS |
|
|
Style Transfer (I8)
|
98% |
25991
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5914
211.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5900
210.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4483
160.1 IPS |
|
|
Text Classification (F32)
|
100% |
1561
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1538
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1275
1.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
2376
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2293
42.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1602
29.5 IPS |
