ASUS System Product Name
Geekbench AI Score
23407
Single Precision Score
33360
Half Precision Score
14595
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | vschleper |
| Upload Date | February 28 2025 04:25 PM |
| Views | 9 |
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% |
9396
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
12604
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
6368
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12963
210.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16706
270.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9894
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
190424
222.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
343838
401.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
138662
162.5 IPS |
|
|
Object Detection (SP)
|
100% |
11518
913.6 IPS |
|
|
Object Detection (HP)
|
100% |
15615
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8045
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
28255
335.7 IPS |
|
|
Face Detection (HP)
|
100% |
37379
444.1 IPS |
|
|
Face Detection (Q)
|
97% |
19760
235.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
59651
459.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
102745
791.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
36566
292.8 IPS |
|
|
Style Transfer (SP)
|
100% |
277921
357.3 IPS |
|
|
Style Transfer (HP)
|
100% |
603532
775.8 IPS |
|
|
Style Transfer (Q)
|
98% |
195892
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37965
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50665
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21739
805.0 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1465
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |
