Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
2321
Single Precision Score
2353
Half Precision Score
5959
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jevangelho |
| Upload Date | August 16 2024 05:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.0 IPS |
|
|
Image Classification (Q)
|
100% |
3070
571.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3768
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
11334
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
88% |
3242
259.9 IPS |
|
|
Face Detection (SP)
|
100% |
4515
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
8057
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3123
24.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
3326
25.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
8142
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11472
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10102
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39036
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6270
232.2 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2577
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
85% |
3317
58.0 IPS |
