ASRock Z690-C/D5
Geekbench AI Score
4936
Single Precision Score
1754
Half Precision Score
6632
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 09 2025 02:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock Z690-C/D5 |
| Motherboard | ASRock Z690-C/D5 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3918
728.7 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
99% |
6432
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3282
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
29866
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
3542
281.0 IPS |
|
|
Object Detection (HP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (Q)
|
86% |
6079
488.5 IPS |
|
|
Face Detection (SP)
|
100% |
9605
114.1 IPS |
|
|
Face Detection (HP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
10298
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10463
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16639
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20077
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11444
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26866
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5230
193.7 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
618
827.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2888
58.0 IPS |
