Framework Laptop (12th Gen Intel Core)
Geekbench AI Score
4123
Single Precision Score
5635
Half Precision Score
7985
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ray5 |
| Upload Date | August 16 2024 12:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop (12th Gen Intel Core) |
| Motherboard | Framework FRANGACP06 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (HP)
|
100% |
3841
714.3 IPS |
|
|
Image Classification (Q)
|
99% |
5120
954.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6455
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7262
117.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10615
12.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7848
9.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
31700
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (Q)
|
90% |
5234
418.5 IPS |
|
|
Face Detection (SP)
|
100% |
6345
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
10538
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
15811
187.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10005
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14913
115.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
19697
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27082
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34838
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70221
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4291
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10837
401.3 IPS |
|
|
Text Classification (SP)
|
71% |
522
754.8 IPS |
|
|
Text Classification (HP)
|
71% |
776
1.12 KIPS |
|
|
Text Classification (Q)
|
92% |
411
552.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1622
28.1 IPS |
|
|
Machine Translation (Q)
|
89% |
1754
30.5 IPS |
