ASUS System Product Name
Geekbench AI Score
27844
Single Precision Score
42664
Half Precision Score
20897
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | August 15 2024 08:01 PM |
| Views | 32 |
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% |
11218
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
17596
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9757
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17676
286.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22248
360.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16280
264.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
180094
210.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
433504
505.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
144796
169.6 IPS |
|
|
Object Detection (SP)
|
100% |
13427
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
21264
1.69 KIPS |
|
|
Object Detection (Q)
|
89% |
11412
913.6 IPS |
|
|
Face Detection (SP)
|
100% |
32821
390.0 IPS |
|
|
Face Detection (HP)
|
100% |
46034
547.0 IPS |
|
|
Face Detection (Q)
|
97% |
27616
329.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65433
504.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113213
872.2 IPS |
|
|
Depth Estimation (Q)
|
70% |
47613
398.6 IPS |
|
|
Style Transfer (SP)
|
100% |
302965
389.5 IPS |
|
|
Style Transfer (HP)
|
100% |
744415
957.0 IPS |
|
|
Style Transfer (Q)
|
98% |
260577
336.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48866
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62786
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35385
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4996
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2386
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4645
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4550
78.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2092
46.7 IPS |
