EVGA Corp. Z690 CLASSIFIED
Geekbench AI Score
4687
Single Precision Score
1746
Half Precision Score
8316
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TallonRain |
| Upload Date | July 29 2025 01:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | EVGA Corp. Z690 CLASSIFIED |
| Motherboard | EVGA Corp. Z690 CLASSIFIED |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3655
679.6 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.7 IPS |
|
|
Image Classification (Q)
|
99% |
6088
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10291
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8070
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
28589
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3527
279.7 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
6890
553.7 IPS |
|
|
Face Detection (SP)
|
100% |
9752
115.9 IPS |
|
|
Face Detection (HP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
10580
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10363
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16644
132.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19482
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11194
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24840
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3265
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6027
223.2 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1627
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2299
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2990
60.1 IPS |
