ASUS System Product Name
Geekbench AI Score
29628
Single Precision Score
44033
Half Precision Score
22240
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 01 2024 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11718
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
16320
3.04 KIPS |
|
|
Image Classification (Q)
|
100% |
9884
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19935
323.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25837
418.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18453
300.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
188867
220.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
456688
532.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
168440
197.2 IPS |
|
|
Object Detection (SP)
|
100% |
14680
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
21782
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
12444
996.3 IPS |
|
|
Face Detection (SP)
|
100% |
39173
465.5 IPS |
|
|
Face Detection (HP)
|
100% |
52106
619.1 IPS |
|
|
Face Detection (Q)
|
97% |
31808
379.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
69642
536.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
123715
953.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
52470
439.5 IPS |
|
|
Style Transfer (SP)
|
100% |
343326
441.4 IPS |
|
|
Style Transfer (HP)
|
100% |
789256
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
301701
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49280
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60871
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35085
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2079
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5044
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2109
47.1 IPS |
