ASUS System Product Name
Geekbench AI Score
27827
Single Precision Score
42597
Half Precision Score
21088
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | September 06 2024 07:34 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11675
2.17 KIPS |
|
|
Image Classification (HP)
|
99% |
17448
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9866
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17698
286.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22194
359.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16192
263.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
179856
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
427817
499.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
149066
174.6 IPS |
|
|
Object Detection (SP)
|
100% |
13151
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
21160
1.68 KIPS |
|
|
Object Detection (Q)
|
89% |
10769
862.1 IPS |
|
|
Face Detection (SP)
|
100% |
34452
409.4 IPS |
|
|
Face Detection (HP)
|
100% |
45243
537.6 IPS |
|
|
Face Detection (Q)
|
97% |
27328
325.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
59154
455.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
115636
893.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
51652
416.1 IPS |
|
|
Style Transfer (SP)
|
100% |
312012
401.1 IPS |
|
|
Style Transfer (HP)
|
100% |
736947
947.4 IPS |
|
|
Style Transfer (Q)
|
98% |
276851
357.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48732
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61968
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35638
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3922
5.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5000
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2346
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4688
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2076
46.3 IPS |
