ASUS System Product Name
Geekbench AI Score
29626
Single Precision Score
38788
Half Precision Score
23040
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kruxarn |
| Upload Date | August 20 2024 12:12 AM |
| Views | 14 |
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% |
11775
2.19 KIPS |
|
|
Image Classification (HP)
|
99% |
15029
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
10139
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12897
209.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14474
234.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11770
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
291734
340.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
461672
538.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
253991
297.4 IPS |
|
|
Object Detection (SP)
|
100% |
14406
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
17608
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
12800
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
30803
366.0 IPS |
|
|
Face Detection (HP)
|
100% |
35278
419.2 IPS |
|
|
Face Detection (Q)
|
97% |
27500
327.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
88093
678.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
147701
1.14 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64827
523.3 IPS |
|
|
Style Transfer (SP)
|
100% |
527983
678.7 IPS |
|
|
Style Transfer (HP)
|
100% |
953588
1.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
456952
589.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54697
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69973
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41517
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3016
52.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1519
33.9 IPS |
