ASUS System Product Name
Geekbench AI Score
5633
Single Precision Score
1306
Half Precision Score
6731
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fasttrack |
| Upload Date | August 29 2024 12:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3301
613.8 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
99% |
5582
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
3533
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10269
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7849
9.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
34014
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
3798
301.2 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
88% |
3274
262.5 IPS |
|
|
Face Detection (SP)
|
100% |
7250
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (Q)
|
97% |
7086
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12135
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
14630
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24243
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19345
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36722
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4681
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3712
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6833
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3975
88.7 IPS |
