ASUS System Product Name
Geekbench AI Score
24228
Single Precision Score
35829
Half Precision Score
14713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 11:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| 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% |
9727
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13399
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6478
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15089
244.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19801
321.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11099
180.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
167753
195.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
352907
411.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
127161
149.0 IPS |
|
|
Object Detection (SP)
|
100% |
12247
971.5 IPS |
|
|
Object Detection (HP)
|
100% |
17042
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
8198
659.5 IPS |
|
|
Face Detection (SP)
|
100% |
31196
370.7 IPS |
|
|
Face Detection (HP)
|
100% |
42628
506.5 IPS |
|
|
Face Detection (Q)
|
97% |
20877
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
59780
460.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104590
805.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35494
284.2 IPS |
|
|
Style Transfer (SP)
|
100% |
272314
350.1 IPS |
|
|
Style Transfer (HP)
|
100% |
625582
804.2 IPS |
|
|
Style Transfer (Q)
|
98% |
191998
247.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38872
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53182
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21385
791.8 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1441
27.0 IPS |
