ASUS System Product Name
Geekbench AI Score
36614
Single Precision Score
49405
Half Precision Score
27623
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | zxhsean |
| Upload Date | August 18 2024 07:20 AM |
| Views | 9 |
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 STRIX Z790-A GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13892
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18228
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
11655
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20691
335.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24617
399.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19048
309.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
314795
367.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
532188
621.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
276169
323.4 IPS |
|
|
Object Detection (SP)
|
100% |
18443
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
23551
1.87 KIPS |
|
|
Object Detection (Q)
|
89% |
15650
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
45935
545.8 IPS |
|
|
Face Detection (HP)
|
100% |
55133
655.1 IPS |
|
|
Face Detection (Q)
|
97% |
39252
468.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
93561
720.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
158670
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68822
555.6 IPS |
|
|
Style Transfer (SP)
|
100% |
565547
727.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1050249
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
487542
628.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59471
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77263
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44283
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (HP)
|
99% |
4745
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2264
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4736
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2042
45.6 IPS |
