EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5776
Single Precision Score
2012
Half Precision Score
6686
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 08 2024 03:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Alto rendimiento |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3302
614.1 IPS |
|
|
Image Classification (HP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (Q)
|
99% |
5108
952.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13916
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
42240
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
88% |
3081
247.0 IPS |
|
|
Face Detection (SP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
7003
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13373
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2579
19.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13825
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30545
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13614
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38501
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4933
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2715
100.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6745
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
737
987.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2672
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3344
74.6 IPS |
