Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
16763
Single Precision Score
26272
Half Precision Score
13797
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 02:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6767
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
9659
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
6422
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9059
146.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11107
180.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8419
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
117453
137.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
324061
378.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
108223
126.8 IPS |
|
|
Object Detection (SP)
|
100% |
8121
644.1 IPS |
|
|
Object Detection (HP)
|
100% |
11136
883.3 IPS |
|
|
Object Detection (Q)
|
83% |
7251
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
19843
235.8 IPS |
|
|
Face Detection (HP)
|
100% |
26319
312.7 IPS |
|
|
Face Detection (Q)
|
97% |
17869
213.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49643
382.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
91428
704.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
40044
319.6 IPS |
|
|
Style Transfer (SP)
|
100% |
163050
209.6 IPS |
|
|
Style Transfer (HP)
|
100% |
457483
588.1 IPS |
|
|
Style Transfer (Q)
|
98% |
140575
181.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29213
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47471
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23121
856.1 IPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1341
25.1 IPS |
