ASUS System Product Name
Geekbench AI Score
36549
Single Precision Score
50763
Half Precision Score
26692
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 24 2024 06:02 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13996
2.60 KIPS |
|
|
Image Classification (HP)
|
99% |
18788
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
11519
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21913
355.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26604
431.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
19975
324.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
286369
334.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
506459
591.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
259270
303.6 IPS |
|
|
Object Detection (SP)
|
100% |
18233
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23938
1.90 KIPS |
|
|
Object Detection (Q)
|
89% |
14233
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
47160
560.4 IPS |
|
|
Face Detection (HP)
|
100% |
58000
689.2 IPS |
|
|
Face Detection (Q)
|
97% |
38940
464.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
88853
684.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
151486
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
62497
504.1 IPS |
|
|
Style Transfer (SP)
|
100% |
540046
694.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1077825
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
464615
599.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59753
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80797
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43338
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4970
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2224
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5034
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4931
84.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1984
44.3 IPS |
