Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
3344
Single Precision Score
7217
Half Precision Score
2518
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jevangelho |
| Upload Date | August 16 2024 05:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
4642
863.2 IPS |
|
|
Image Classification (Q)
|
100% |
1232
229.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7284
118.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1366
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13698
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20451
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11752
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
4839
385.0 IPS |
|
|
Object Detection (Q)
|
89% |
1183
94.7 IPS |
|
|
Face Detection (SP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
7862
93.4 IPS |
|
|
Face Detection (Q)
|
97% |
1011
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7704
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19981
154.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
6026
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41835
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66815
85.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31020
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7796
287.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10589
391.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5095
188.7 IPS |
|
|
Text Classification (SP)
|
86% |
908
1.23 KIPS |
|
|
Text Classification (HP)
|
99% |
640
854.1 IPS |
|
|
Text Classification (Q)
|
83% |
661
900.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
60% |
690
15.4 IPS |
