GEEKOM IT12
Geekbench AI Score
4509
Single Precision Score
6026
Half Precision Score
8924
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:42 PM |
| Views | 27 |
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 | 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% |
2639
490.7 IPS |
|
|
Image Classification (HP)
|
100% |
4234
787.4 IPS |
|
|
Image Classification (Q)
|
99% |
5244
978.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4338
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6812
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7529
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10562
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
8023
9.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
30475
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
3732
296.1 IPS |
|
|
Object Detection (Q)
|
90% |
5324
425.7 IPS |
|
|
Face Detection (SP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
11012
130.9 IPS |
|
|
Face Detection (Q)
|
100% |
15776
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9934
76.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
15199
117.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
19353
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27121
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35392
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
71251
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4406
162.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6814
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11905
440.9 IPS |
|
|
Text Classification (SP)
|
71% |
1039
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1169
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1551
26.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1496
25.8 IPS |
