Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
4901
Single Precision Score
4800
Half Precision Score
12587
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 13 2024 04:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 58.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3790
704.7 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.2 IPS |
|
|
Image Classification (Q)
|
100% |
10517
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6624
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
25038
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.5 IPS |
|
|
Object Detection (HP)
|
100% |
3005
238.3 IPS |
|
|
Object Detection (Q)
|
88% |
10028
803.8 IPS |
|
|
Face Detection (SP)
|
100% |
7501
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
7483
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
22671
269.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8053
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8267
63.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
25060
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17159
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16979
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68087
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3058
112.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12188
451.4 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
92% |
5535
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5533
95.3 IPS |
