EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5644
Single Precision Score
1898
Half Precision Score
6764
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 08 2024 03:56 PM |
| Views | 2 |
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% |
2957
549.9 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
5156
961.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2785
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4392
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13966
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5574
6.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
44685
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
3857
306.0 IPS |
|
|
Object Detection (HP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (Q)
|
88% |
3043
243.9 IPS |
|
|
Face Detection (SP)
|
100% |
6463
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
6985
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12961
99.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2345
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13985
111.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30847
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13648
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38631
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6912
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3317
74.0 IPS |
