ASUS System Product Name
Geekbench AI Score
24089
Single Precision Score
35595
Half Precision Score
18367
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 02:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10058
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
14681
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
8564
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13104
212.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15716
254.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12104
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
164868
192.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
385396
449.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
147728
173.0 IPS |
|
|
Object Detection (SP)
|
100% |
11760
932.8 IPS |
|
|
Object Detection (HP)
|
100% |
17161
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
9553
764.8 IPS |
|
|
Face Detection (SP)
|
100% |
27427
325.9 IPS |
|
|
Face Detection (HP)
|
100% |
35689
424.1 IPS |
|
|
Face Detection (Q)
|
97% |
23185
276.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61477
473.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106355
821.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
46928
378.1 IPS |
|
|
Style Transfer (SP)
|
100% |
285448
366.9 IPS |
|
|
Style Transfer (HP)
|
100% |
663685
853.2 IPS |
|
|
Style Transfer (Q)
|
98% |
256074
330.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43091
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54847
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31842
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4555
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1562
34.8 IPS |
