Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
7779
Single Precision Score
11090
Half Precision Score
5622
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| Power Plan | Utilisation normale |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2660
494.6 IPS |
|
|
Image Classification (HP)
|
100% |
4368
812.3 IPS |
|
|
Image Classification (Q)
|
100% |
2459
457.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4671
75.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3286
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
43150
50.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
78013
91.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31020
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
3658
290.1 IPS |
|
|
Object Detection (Q)
|
89% |
2183
174.7 IPS |
|
|
Face Detection (SP)
|
100% |
5634
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
9714
115.4 IPS |
|
|
Face Detection (Q)
|
97% |
4345
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16953
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24256
186.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
12577
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
72250
92.9 IPS |
|
|
Style Transfer (HP)
|
100% |
113831
146.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49048
63.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14251
526.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20794
767.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9124
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1726
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1367
30.5 IPS |
