EVGA Corp. Z490 DARK KINGPIN
Geekbench AI Score
5951
Single Precision Score
5934
Half Precision Score
8982
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 24 2024 09:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z490 DARK KINGPIN |
| Motherboard | EVGA Corp. Z490 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4445
826.7 IPS |
|
|
Image Classification (HP)
|
100% |
4425
822.9 IPS |
|
|
Image Classification (Q)
|
100% |
6382
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6639
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9950
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9958
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
19648
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
3856
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
3855
305.8 IPS |
|
|
Object Detection (Q)
|
87% |
6734
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
9058
107.6 IPS |
|
|
Face Detection (HP)
|
100% |
9041
107.4 IPS |
|
|
Face Detection (Q)
|
97% |
19023
226.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10919
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10963
84.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
18433
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29467
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29486
37.9 IPS |
|
|
Style Transfer (Q)
|
98% |
55494
71.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10367
384.0 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
91% |
734
985.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4259
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4119
71.0 IPS |
