EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5538
Single Precision Score
2437
Half Precision Score
6571
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 07 2024 09:25 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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3226
599.9 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
99% |
5535
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3670
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10166
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8046
9.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
34043
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
3749
297.4 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
88% |
3249
260.4 IPS |
|
|
Face Detection (SP)
|
100% |
6918
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
6815
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11899
91.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3345
25.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13369
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23940
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20219
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34555
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
802
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3886
86.7 IPS |
