Polar Bear ASUS System Product Name
Geekbench AI Score
36178
Single Precision Score
48860
Half Precision Score
27149
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jiashu |
| Upload Date | August 28 2024 07:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13660
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
17733
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11266
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20284
328.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24393
395.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18897
307.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
319821
373.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
526894
614.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
275990
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
17941
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
22882
1.82 KIPS |
|
|
Object Detection (Q)
|
89% |
15282
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
45644
542.3 IPS |
|
|
Face Detection (HP)
|
100% |
55107
654.8 IPS |
|
|
Face Detection (Q)
|
97% |
38713
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
89479
689.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
149898
1.15 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65669
532.4 IPS |
|
|
Style Transfer (SP)
|
100% |
562350
722.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1060328
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
480266
619.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59612
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78171
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43696
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (HP)
|
99% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2235
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2032
45.3 IPS |
