ASUS System Product Name
Geekbench AI Score
30381
Single Precision Score
43988
Half Precision Score
22934
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | KRASHPROJECT |
| Upload Date | September 26 2024 07:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11774
2.19 KIPS |
|
|
Image Classification (HP)
|
99% |
15998
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
10089
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19486
315.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24386
395.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17787
289.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
207605
242.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
471878
550.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
185260
216.9 IPS |
|
|
Object Detection (SP)
|
100% |
14562
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
20717
1.64 KIPS |
|
|
Object Detection (Q)
|
89% |
11771
942.4 IPS |
|
|
Face Detection (SP)
|
100% |
38569
458.3 IPS |
|
|
Face Detection (HP)
|
100% |
51031
606.4 IPS |
|
|
Face Detection (Q)
|
97% |
32002
381.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
75895
584.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
129343
999.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
57246
461.2 IPS |
|
|
Style Transfer (SP)
|
100% |
365982
470.5 IPS |
|
|
Style Transfer (HP)
|
100% |
825961
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
322411
415.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51485
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63119
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36893
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2099
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2249
50.2 IPS |
