Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
16581
Single Precision Score
19631
Half Precision Score
13202
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Obi_Yoann |
| Upload Date | August 15 2024 08:45 PM |
| Views | 3 |
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 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% |
7664
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
9277
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
6605
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11336
183.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9113
147.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9615
156.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
92408
107.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
138807
162.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
80380
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
6244
495.3 IPS |
|
|
Object Detection (HP)
|
99% |
9593
761.0 IPS |
|
|
Object Detection (Q)
|
89% |
5872
470.0 IPS |
|
|
Face Detection (SP)
|
100% |
17746
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
22712
269.9 IPS |
|
|
Face Detection (Q)
|
97% |
14905
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44388
342.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54735
421.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
35310
288.3 IPS |
|
|
Style Transfer (SP)
|
100% |
157461
202.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236292
303.8 IPS |
|
|
Style Transfer (Q)
|
98% |
142244
183.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26208
967.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31695
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20676
765.6 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2152
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1611
35.9 IPS |
