EVGA Corp. Z690 DARK KINGPIN
Geekbench AI Score
5470
Single Precision Score
2413
Half Precision Score
6403
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sweet2023 |
| Upload Date | September 07 2024 07:32 PM |
| Views | 9 |
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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores |
| 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% |
3203
595.7 IPS |
|
|
Image Classification (HP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
5452
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3635
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10134
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7987
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
33014
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.8 IPS |
|
|
Object Detection (HP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (Q)
|
88% |
3213
257.6 IPS |
|
|
Face Detection (SP)
|
100% |
6533
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
6536
77.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11782
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3319
25.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12815
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23789
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19927
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33103
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6638
245.8 IPS |
|
|
Text Classification (SP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1051
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3823
85.3 IPS |
