EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
8056
Single Precision Score
8115
Half Precision Score
6885
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | January 30 2025 08:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| 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 Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4511
839.0 IPS |
|
|
Image Classification (HP)
|
100% |
4686
871.5 IPS |
|
|
Image Classification (Q)
|
100% |
10818
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6658
107.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6767
109.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11845
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14271
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14270
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17372
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
4397
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
4409
349.8 IPS |
|
|
Object Detection (Q)
|
88% |
1993
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
14629
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
14614
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
14761
175.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14042
108.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13973
107.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5051
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41619
53.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41638
53.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34879
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6445
238.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6457
238.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2825
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2000
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3674
63.3 IPS |
