Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1920
Single Precision Score
480
Half Precision Score
3036
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jevangelho |
| Upload Date | August 16 2024 05:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
99% |
2002
373.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1988
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3007
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1289
1.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
15282
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
88% |
1239
99.4 IPS |
|
|
Face Detection (SP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
3290
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3484
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
670
5.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
5817
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8221
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
3444
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
17024
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3282
121.5 IPS |
|
|
Text Classification (SP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.7 IPS |
|
|
Text Classification (Q)
|
97% |
493
660.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
60% |
1677
37.4 IPS |
