Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
3305
Single Precision Score
882
Half Precision Score
5222
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.5 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (Q)
|
99% |
4785
892.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
3481
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7065
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
24322
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
88% |
1909
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (Q)
|
97% |
5544
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1076
8.29 IPS |
|
|
Depth Estimation (Q)
|
76% |
9839
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16465
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14237
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27136
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
1935
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1730
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2247
50.1 IPS |
