ASUS System Product Name
Geekbench AI Score
21998
Single Precision Score
32246
Half Precision Score
13268
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jlebreault |
| Upload Date | January 12 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8145
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
12084
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
5496
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13900
225.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18462
299.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10292
167.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
169692
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
326612
381.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
124160
145.5 IPS |
|
|
Object Detection (SP)
|
100% |
10756
853.1 IPS |
|
|
Object Detection (HP)
|
100% |
14644
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7191
578.5 IPS |
|
|
Face Detection (SP)
|
100% |
28693
340.9 IPS |
|
|
Face Detection (HP)
|
100% |
38539
457.9 IPS |
|
|
Face Detection (Q)
|
97% |
19303
230.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
53235
410.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94797
730.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
32658
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
259145
333.1 IPS |
|
|
Style Transfer (HP)
|
100% |
573917
737.8 IPS |
|
|
Style Transfer (Q)
|
98% |
176628
227.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34428
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46483
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18911
700.3 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1338
25.1 IPS |
