EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
6100
Single Precision Score
1076
Half Precision Score
6976
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | September 03 2024 07:05 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3517
654.0 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (Q)
|
99% |
5230
975.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
4208
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14298
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5695
6.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
43868
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
4065
322.5 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
88% |
3100
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
7581
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.19 IPS |
|
|
Face Detection (Q)
|
97% |
7557
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14296
110.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1201
9.25 IPS |
|
|
Depth Estimation (Q)
|
76% |
16277
131.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32496
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14419
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37978
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4681
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2742
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7141
264.4 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
803
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3406
76.0 IPS |
