Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
15850
Single Precision Score
18599
Half Precision Score
12960
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SieglindeFestkochend |
| Upload Date | November 22 2024 05:34 PM |
| Views | 6 |
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 FRANMZCP07 |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7359
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
8014
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6395
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9843
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9352
151.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9901
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
94937
110.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
144161
168.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
84395
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
6498
515.4 IPS |
|
|
Object Detection (HP)
|
99% |
9021
715.6 IPS |
|
|
Object Detection (Q)
|
89% |
5724
458.1 IPS |
|
|
Face Detection (SP)
|
100% |
16942
201.3 IPS |
|
|
Face Detection (HP)
|
100% |
18982
225.5 IPS |
|
|
Face Detection (Q)
|
97% |
15575
185.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44399
342.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55355
426.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
36443
293.8 IPS |
|
|
Style Transfer (SP)
|
100% |
161355
207.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231926
298.1 IPS |
|
|
Style Transfer (Q)
|
98% |
138647
178.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25964
958.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32577
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21284
788.1 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2836
48.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1397
31.2 IPS |
