EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7109
Single Precision Score
2153
Half Precision Score
10605
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 06:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Windows Server 2025 Datacenter (64-bit) |
| Model | EVGA Corp. Z790 DARK KINGPIN |
| Motherboard | EVGA Corp. Z790 DARK KINGPIN |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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% |
5574
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
784
145.8 IPS |
|
|
Image Classification (Q)
|
99% |
9117
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4948
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14425
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
44183
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5350
424.4 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
86% |
10027
805.8 IPS |
|
|
Face Detection (SP)
|
100% |
14907
177.1 IPS |
|
|
Face Detection (HP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
14349
171.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15468
119.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2933
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
23985
191.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32056
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13727
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39632
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5430
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6816
252.4 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2070
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4682
94.1 IPS |
