ASUS System Product Name
Geekbench AI Score
4896
Single Precision Score
1716
Half Precision Score
5580
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MindLogic |
| Upload Date | October 30 2024 11:22 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2711
504.2 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (Q)
|
99% |
4732
882.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3809
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11746
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5177
6.04 IPS |
|
|
Pose Estimation (Q)
|
95% |
36157
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
3272
259.5 IPS |
|
|
Object Detection (HP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (Q)
|
88% |
2591
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
5130
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
5594
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11155
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2242
17.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
10993
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27272
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13168
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29499
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4297
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5648
209.1 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
606
811.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2411
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2794
62.3 IPS |
