Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
2117
Single Precision Score
2246
Half Precision Score
1484
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 13 2024 04:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| 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% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
99% |
1373
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1184
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1767
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2969
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
3118
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (Q)
|
85% |
1029
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2876
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (Q)
|
97% |
2326
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2846
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2846
21.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1823
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3642
4.68 IPS |
|
|
Style Transfer (HP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4970
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1190
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
682
915.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2356
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (Q)
|
58% |
581
13.6 IPS |
