ASUS System Product Name
Geekbench AI Score
5922
Single Precision Score
1802
Half Precision Score
8513
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | vschleper |
| Upload Date | February 28 2025 04:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4682
870.7 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
7483
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4109
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12667
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
36833
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
4425
351.0 IPS |
|
|
Object Detection (HP)
|
100% |
817
64.8 IPS |
|
|
Object Detection (Q)
|
86% |
7840
630.1 IPS |
|
|
Face Detection (SP)
|
100% |
11684
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
1992
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
12167
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13791
106.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18077
144.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27289
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13085
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27749
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4090
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5736
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
1908
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2360
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3576
71.9 IPS |
