GEEKOM IT12
Geekbench AI Score
2737
Single Precision Score
1047
Half Precision Score
4610
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:25 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM IT12 |
| Motherboard | Default string IT12 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
99% |
3982
742.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2281
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4692
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
14989
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
4112
330.5 IPS |
|
|
Face Detection (SP)
|
100% |
5141
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6178
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5617
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10422
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11093
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7052
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
16003
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1284
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2920
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
544
725.8 IPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
65% |
2095
42.1 IPS |
