Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench AI Score
7428
Single Precision Score
11315
Half Precision Score
5457
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BrianG61UK |
| Upload Date | June 16 2025 02:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (HP)
|
100% |
4623
859.8 IPS |
|
|
Image Classification (Q)
|
100% |
2563
476.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4606
74.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2912
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37908
44.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68287
79.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
27618
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
3596
285.3 IPS |
|
|
Object Detection (Q)
|
87% |
2282
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
10377
123.3 IPS |
|
|
Face Detection (Q)
|
97% |
4561
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16102
124.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25829
199.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12163
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
64455
82.9 IPS |
|
|
Style Transfer (HP)
|
100% |
110846
142.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43859
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13610
502.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22612
835.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8133
301.1 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2873
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1606
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1567
29.4 IPS |
