ASUS System Product Name
Geekbench AI Score
37393
Single Precision Score
51887
Half Precision Score
28305
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kruxarn |
| Upload Date | August 20 2024 12:18 AM |
| Views | 17 |
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 | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14682
2.73 KIPS |
|
|
Image Classification (HP)
|
99% |
19452
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
12297
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20326
329.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24167
391.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18794
305.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
302557
353.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
548489
640.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
261542
306.3 IPS |
|
|
Object Detection (SP)
|
100% |
18434
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
24533
1.95 KIPS |
|
|
Object Detection (Q)
|
89% |
16119
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
46881
557.0 IPS |
|
|
Face Detection (HP)
|
100% |
56216
668.0 IPS |
|
|
Face Detection (Q)
|
97% |
39414
469.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
98764
760.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
170025
1.31 KIPS |
|
|
Depth Estimation (Q)
|
75% |
70732
571.0 IPS |
|
|
Style Transfer (SP)
|
100% |
548751
705.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1106463
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
498893
643.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63493
2.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86964
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47033
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4187
5.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5208
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2449
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2115
47.2 IPS |
