Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
5228
Single Precision Score
5270
Half Precision Score
15115
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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% |
3674
683.3 IPS |
|
|
Image Classification (HP)
|
100% |
3672
682.8 IPS |
|
|
Image Classification (Q)
|
100% |
9463
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8355
135.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7185
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7215
8.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
28620
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (HP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (Q)
|
88% |
9910
794.4 IPS |
|
|
Face Detection (SP)
|
100% |
7756
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
7854
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
24871
295.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9010
69.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
25068
198.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20124
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20131
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
76946
99.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15011
555.9 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (Q)
|
92% |
5487
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (Q)
|
85% |
7029
122.9 IPS |
