ASUS System Product Name
Geekbench AI Score
5857
Single Precision Score
1837
Half Precision Score
7652
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Surg |
| Upload Date | January 04 2025 08:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4684
871.0 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.2 IPS |
|
|
Image Classification (Q)
|
99% |
7633
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3871
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10707
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
34667
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4189
332.3 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
7435
597.5 IPS |
|
|
Face Detection (SP)
|
100% |
11916
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
11448
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13200
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2534
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19352
154.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26308
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13317
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32214
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4475
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2539
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5709
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
633
847.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3508
70.5 IPS |
