EVGA Corp. Z490 DARK KINGPIN
Geekbench AI Score
6318
Single Precision Score
6306
Half Precision Score
9377
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | October 24 2024 09:03 PM |
| Views | 5 |
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% |
4534
843.1 IPS |
|
|
Image Classification (HP)
|
100% |
4414
820.9 IPS |
|
|
Image Classification (Q)
|
100% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4500
72.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6722
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
19848
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
4228
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4233
335.8 IPS |
|
|
Object Detection (Q)
|
87% |
6968
558.8 IPS |
|
|
Face Detection (SP)
|
100% |
9310
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
9340
111.0 IPS |
|
|
Face Detection (Q)
|
97% |
19450
231.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11939
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11933
91.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
19402
153.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29842
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29904
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
56244
72.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10774
399.1 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1240
1.65 KIPS |
|
|
Text Classification (Q)
|
91% |
812
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4677
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4682
80.6 IPS |
