Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
8300
Single Precision Score
11952
Half Precision Score
6097
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:24 AM |
| Views | 2 |
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% |
3365
625.8 IPS |
|
|
Image Classification (HP)
|
100% |
5067
942.3 IPS |
|
|
Image Classification (Q)
|
100% |
2998
557.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3365
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
42342
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
77921
90.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30823
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
4048
321.1 IPS |
|
|
Object Detection (Q)
|
87% |
2467
198.1 IPS |
|
|
Face Detection (SP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (Q)
|
97% |
5184
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17319
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25372
195.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13325
106.9 IPS |
|
|
Style Transfer (SP)
|
100% |
74241
95.4 IPS |
|
|
Style Transfer (HP)
|
100% |
119108
153.1 IPS |
|
|
Style Transfer (Q)
|
98% |
49095
63.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14426
532.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21510
794.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8841
327.4 IPS |
|
|
Text Classification (SP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1733
32.5 IPS |
