EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
8169
Single Precision Score
8138
Half Precision Score
6767
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | luakri |
| Upload Date | January 18 2025 09:58 PM |
| Views | 17 |
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% |
4683
871.0 IPS |
|
|
Image Classification (HP)
|
100% |
4770
887.0 IPS |
|
|
Image Classification (Q)
|
100% |
10833
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6862
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6793
110.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11882
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14348
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14385
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
39126
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4477
355.1 IPS |
|
|
Object Detection (HP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (Q)
|
88% |
1994
159.8 IPS |
|
|
Face Detection (SP)
|
100% |
14892
176.9 IPS |
|
|
Face Detection (HP)
|
100% |
14873
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
4651
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14088
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14129
108.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5055
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39468
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39582
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27167
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6622
244.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6624
244.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
1995
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3604
62.1 IPS |
