GEEKOM IT12
Geekbench AI Score
3131
Single Precision Score
3139
Half Precision Score
1942
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:30 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
100% |
1075
199.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1480
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12290
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12209
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
6271
7.34 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
98% |
1348
107.3 IPS |
|
|
Object Detection (Q)
|
86% |
1269
102.0 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
2186
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6772
52.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4327
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26388
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32636
42.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16815
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1535
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.5 IPS |
|
|
Text Classification (Q)
|
97% |
478
640.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (Q)
|
70% |
517
9.70 IPS |
