Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
5030
Single Precision Score
5002
Half Precision Score
14893
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | December 22 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS w/ Radeon 780M Graphics |
| 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% |
3446
640.8 IPS |
|
|
Image Classification (HP)
|
100% |
3478
646.8 IPS |
|
|
Image Classification (Q)
|
100% |
9670
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9324
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6458
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6560
7.65 IPS |
|
|
Pose Estimation (Q)
|
98% |
26211
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (HP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (Q)
|
88% |
10085
808.5 IPS |
|
|
Face Detection (SP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
24300
288.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8583
66.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
26038
202.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17870
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18138
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
68787
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13647
505.4 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6514
112.2 IPS |
