ASUS System Product Name
Geekbench AI Score
23501
Single Precision Score
34541
Half Precision Score
14671
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Dasjuggernaut |
| Upload Date | January 02 2025 06:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9588
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13291
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
6538
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13174
213.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16903
274.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10067
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
166675
194.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
349554
407.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
128162
150.2 IPS |
|
|
Object Detection (SP)
|
100% |
11685
926.9 IPS |
|
|
Object Detection (HP)
|
100% |
15984
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8100
651.5 IPS |
|
|
Face Detection (SP)
|
100% |
29521
350.8 IPS |
|
|
Face Detection (HP)
|
100% |
38639
459.1 IPS |
|
|
Face Detection (Q)
|
97% |
20360
242.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
60007
462.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104785
807.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36652
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
263796
339.1 IPS |
|
|
Style Transfer (HP)
|
100% |
610519
784.8 IPS |
|
|
Style Transfer (Q)
|
98% |
191801
247.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38632
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52787
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21816
807.8 IPS |
|
|
Text Classification (SP)
|
100% |
3269
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1530
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3491
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1416
26.6 IPS |
