EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
7828
Single Precision Score
7794
Half Precision Score
17209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity174 |
| Upload Date | February 01 2025 08:27 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4684
871.1 IPS |
|
|
Image Classification (HP)
|
100% |
4689
872.0 IPS |
|
|
Image Classification (Q)
|
100% |
10719
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5953
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5794
93.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11003
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9432
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
38674
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
4574
362.8 IPS |
|
|
Object Detection (HP)
|
100% |
4576
363.0 IPS |
|
|
Object Detection (Q)
|
88% |
10376
831.7 IPS |
|
|
Face Detection (SP)
|
100% |
14398
171.1 IPS |
|
|
Face Detection (HP)
|
100% |
14397
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
26008
309.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12396
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12371
95.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
29188
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29285
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29099
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100074
129.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17425
645.3 IPS |
|
|
Text Classification (SP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
92% |
6723
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5375
92.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5410
93.2 IPS |
