Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
3043
Single Precision Score
918
Half Precision Score
6339
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | December 22 2024 08:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 54.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.7 IPS |
|
|
Image Classification (Q)
|
97% |
6942
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6415
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5056
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
22588
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
86% |
6436
517.2 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
13100
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7445
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6083
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15525
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12996
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22495
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3858
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
574
765.9 IPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2606
52.4 IPS |
