Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
18232
Single Precision Score
21751
Half Precision Score
14871
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX 7700S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8874
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
10538
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
8036
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12309
199.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10088
163.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11085
180.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
91618
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
138348
161.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
80396
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
6918
548.7 IPS |
|
|
Object Detection (HP)
|
99% |
11171
886.1 IPS |
|
|
Object Detection (Q)
|
87% |
6621
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
22967
272.9 IPS |
|
|
Face Detection (HP)
|
100% |
28345
336.8 IPS |
|
|
Face Detection (Q)
|
97% |
19204
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
43967
338.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58528
450.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38529
309.0 IPS |
|
|
Style Transfer (SP)
|
100% |
159441
205.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231407
297.5 IPS |
|
|
Style Transfer (Q)
|
98% |
136053
175.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26316
971.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33825
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21126
782.3 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2678
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2241
42.0 IPS |
