ASUS System Product Name
Geekbench AI Score
23383
Single Precision Score
33150
Half Precision Score
14576
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | vschleper |
| Upload Date | February 28 2025 04:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| 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% |
9377
1.74 KIPS |
|
|
Image Classification (HP)
|
99% |
12597
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6366
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13025
211.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16183
262.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10109
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
190813
222.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
345833
403.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
138501
162.3 IPS |
|
|
Object Detection (SP)
|
100% |
11386
903.2 IPS |
|
|
Object Detection (HP)
|
100% |
15108
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7898
635.3 IPS |
|
|
Face Detection (SP)
|
100% |
28116
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
37060
440.3 IPS |
|
|
Face Detection (Q)
|
97% |
19733
235.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
59249
456.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101616
782.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36206
289.9 IPS |
|
|
Style Transfer (SP)
|
100% |
279950
359.9 IPS |
|
|
Style Transfer (HP)
|
100% |
606795
780.0 IPS |
|
|
Style Transfer (Q)
|
98% |
196964
254.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38315
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51436
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21800
807.2 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1391
26.1 IPS |
