ASUS System Product Name test R ASUS System Product Name
Geekbench AI Score
4130
Single Precision Score
1566
Half Precision Score
5356
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | BossRreynolds |
| Upload Date | November 04 2024 01:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
4264
795.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3485
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4293
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
28831
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (Q)
|
88% |
2375
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
5828
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2183
16.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11366
91.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21197
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10988
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31899
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5571
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.8 IPS |
|
|
Text Classification (Q)
|
97% |
604
808.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2686
59.9 IPS |
