Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
8342
Single Precision Score
12028
Half Precision Score
6033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (HP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (Q)
|
100% |
2772
515.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4135
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4904
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3393
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42311
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
78833
92.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
30831
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
3975
315.3 IPS |
|
|
Object Detection (Q)
|
87% |
2432
195.3 IPS |
|
|
Face Detection (SP)
|
100% |
6137
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11183
132.9 IPS |
|
|
Face Detection (Q)
|
97% |
5202
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18254
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26822
206.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13244
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
75242
96.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118675
152.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49203
63.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14589
538.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21341
788.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8942
331.1 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1723
32.3 IPS |
