EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
9075
Single Precision Score
9104
Half Precision Score
19008
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | December 20 2024 10:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5402
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5499
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10445
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7046
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7045
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12550
203.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10949
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10962
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
39741
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
5411
429.2 IPS |
|
|
Object Detection (HP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (Q)
|
88% |
12034
964.7 IPS |
|
|
Face Detection (SP)
|
100% |
17013
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
17307
205.6 IPS |
|
|
Face Detection (Q)
|
100% |
30203
358.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14386
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14380
110.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
34270
266.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32882
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32908
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
109722
141.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6842
252.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20235
749.4 IPS |
|
|
Text Classification (SP)
|
100% |
4895
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4890
6.53 KIPS |
|
|
Text Classification (Q)
|
92% |
6846
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6235
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6245
107.6 IPS |
