EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5910
Single Precision Score
2026
Half Precision Score
6853
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 08 2024 04:20 PM |
| Views | 7 |
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% |
3305
614.7 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.3 IPS |
|
|
Image Classification (Q)
|
99% |
5329
993.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4413
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14011
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5540
6.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
44963
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
2994
237.5 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.7 IPS |
|
|
Object Detection (Q)
|
88% |
3128
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
7067
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13748
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2723
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14202
113.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31621
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14240
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38893
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2752
101.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6972
258.2 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3310
73.8 IPS |
