ASUS System Product Name
Geekbench AI Score
31125
Single Precision Score
48239
Half Precision Score
23658
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | March 17 2025 02:42 PM |
| Views | 3 |
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% |
12261
2.28 KIPS |
|
|
Image Classification (HP)
|
99% |
19547
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
10608
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23052
373.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30887
500.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20447
332.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
175934
205.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
461173
538.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
154772
181.3 IPS |
|
|
Object Detection (SP)
|
100% |
15256
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
24085
1.91 KIPS |
|
|
Object Detection (Q)
|
85% |
12938
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
42857
509.2 IPS |
|
|
Face Detection (HP)
|
100% |
60039
713.4 IPS |
|
|
Face Detection (Q)
|
97% |
36883
439.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
69484
535.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
119889
926.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
56095
448.5 IPS |
|
|
Style Transfer (SP)
|
100% |
313680
403.2 IPS |
|
|
Style Transfer (HP)
|
100% |
735845
945.9 IPS |
|
|
Style Transfer (Q)
|
98% |
278953
359.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49777
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64903
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35921
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4952
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5978
103.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2717
51.0 IPS |
