Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
18052
Single Precision Score
21957
Half Precision Score
14539
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | simonfoilen |
| Upload Date | August 31 2025 12:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX 7700S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8675
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
10448
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
7758
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11852
192.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9834
159.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10519
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
90304
105.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
134998
157.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
79385
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
6803
539.6 IPS |
|
|
Object Detection (HP)
|
99% |
11145
884.0 IPS |
|
|
Object Detection (Q)
|
87% |
6392
513.4 IPS |
|
|
Face Detection (SP)
|
100% |
23514
279.4 IPS |
|
|
Face Detection (HP)
|
100% |
28627
340.1 IPS |
|
|
Face Detection (Q)
|
97% |
19553
233.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42840
330.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54036
416.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38749
310.7 IPS |
|
|
Style Transfer (SP)
|
100% |
154816
199.0 IPS |
|
|
Style Transfer (HP)
|
100% |
241006
309.8 IPS |
|
|
Style Transfer (Q)
|
98% |
135274
174.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26956
995.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33874
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21009
778.0 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2278
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2079
39.0 IPS |
