Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench ML Score
4586
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 02:24 AM |
| Views | 5 |
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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2055
384.5 IPS |
|
|
Image Classification (F16)
|
100% |
2059
385.3 IPS |
|
|
Image Classification (I8)
|
100% |
1782
333.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2660
44.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2613
43.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2236
37.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
37119
44.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
35097
42.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
26971
32.7 IPS |
|
|
Object Detection (F32)
|
100% |
1888
140.9 IPS |
|
|
Object Detection (F16)
|
100% |
1834
136.9 IPS |
|
|
Object Detection (I8)
|
62% |
1699
126.9 IPS |
|
|
Face Detection (F32)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (F16)
|
100% |
5020
59.7 IPS |
|
|
Face Detection (I8)
|
89% |
3810
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12621
97.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13381
103.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
10247
79.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29586
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
29470
38.8 IPS |
|
|
Style Transfer (I8)
|
98% |
26119
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5249
187.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5168
184.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3760
134.3 IPS |
|
|
Text Classification (F32)
|
100% |
1196
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1144
1.64 KIPS |
|
|
Text Classification (I8)
|
98% |
838
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2111
38.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2194
40.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1375
25.3 IPS |
