EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5630
Single Precision Score
1925
Half Precision Score
6811
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 08 2024 03:53 PM |
| Views | 4 |
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% |
2746
510.8 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
99% |
5206
970.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4440
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14070
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
45155
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
3674
291.4 IPS |
|
|
Object Detection (HP)
|
100% |
882
69.9 IPS |
|
|
Object Detection (Q)
|
88% |
3017
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
6599
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
7041
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13426
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2542
19.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13988
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31276
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13915
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38969
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2547
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6994
259.0 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3387
75.5 IPS |
