Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
5931
Single Precision Score
8014
Half Precision Score
4587
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | theofficialgman |
| Upload Date | January 09 2025 02:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 760M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2290
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
3096
575.8 IPS |
|
|
Image Classification (Q)
|
100% |
2146
399.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2519
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25799
30.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
47988
56.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
22388
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (Q)
|
87% |
1996
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8440
100.3 IPS |
|
|
Face Detection (Q)
|
97% |
4280
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13583
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19198
147.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10664
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43232
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
75735
97.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31169
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9877
364.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14258
526.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6651
246.3 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1961
2.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1439
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1255
23.5 IPS |
