Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench ML Score
5099
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:19 PM |
| Views | 2 |
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% |
2434
455.5 IPS |
|
|
Image Classification (F16)
|
100% |
2365
442.6 IPS |
|
|
Image Classification (I8)
|
100% |
2072
387.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2739
45.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2733
45.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2348
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
37320
45.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
38167
46.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28500
34.5 IPS |
|
|
Object Detection (F32)
|
100% |
1706
127.3 IPS |
|
|
Object Detection (F16)
|
100% |
1681
125.5 IPS |
|
|
Object Detection (I8)
|
62% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
5649
67.2 IPS |
|
|
Face Detection (F16)
|
100% |
5728
68.1 IPS |
|
|
Face Detection (I8)
|
89% |
4422
52.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16578
128.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
16404
127.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12427
96.4 IPS |
|
|
Style Transfer (F32)
|
100% |
30222
39.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30251
39.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26174
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5995
214.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5879
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4322
154.3 IPS |
|
|
Text Classification (F32)
|
100% |
1500
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1517
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1273
1.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
2406
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2390
44.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1596
29.4 IPS |
