Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
5651
Single Precision Score
5717
Half Precision Score
15928
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | stumps290 |
| Upload Date | August 25 2025 09:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4001
744.1 IPS |
|
|
Image Classification (HP)
|
100% |
3970
738.3 IPS |
|
|
Image Classification (Q)
|
100% |
11791
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4010
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7497
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
7363
8.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
31382
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3428
271.9 IPS |
|
|
Object Detection (HP)
|
100% |
3408
270.3 IPS |
|
|
Object Detection (Q)
|
88% |
11957
958.5 IPS |
|
|
Face Detection (SP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
7504
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
28993
344.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9560
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9619
74.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
29224
227.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21732
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21458
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
82908
106.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4516
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4611
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16225
600.9 IPS |
|
|
Text Classification (SP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5992
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5825
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6115
105.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8677
149.5 IPS |
