GEEKOM IT12
Geekbench AI Score
3415
Single Precision Score
3212
Half Precision Score
7776
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:38 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
1712
318.3 IPS |
|
|
Image Classification (Q)
|
100% |
5071
943.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4104
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4438
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4382
5.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
15691
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2143
170.0 IPS |
|
|
Object Detection (HP)
|
100% |
2116
167.8 IPS |
|
|
Object Detection (Q)
|
88% |
5597
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
5859
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
5892
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
12930
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3495
26.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8438
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12741
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13197
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38660
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9069
335.9 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3729
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3103
53.5 IPS |
