EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
5873
Single Precision Score
1098
Half Precision Score
6446
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 22 2024 08:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| 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 i9-13900KS |
| 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% |
3404
633.1 IPS |
|
|
Image Classification (HP)
|
100% |
199
37.1 IPS |
|
|
Image Classification (Q)
|
99% |
5152
960.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
3974
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14268
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5660
6.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
44303
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
3953
313.6 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
88% |
3089
247.6 IPS |
|
|
Face Detection (SP)
|
100% |
6346
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (Q)
|
97% |
5487
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13843
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.45 IPS |
|
|
Depth Estimation (Q)
|
76% |
15817
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31236
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14552
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42091
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6623
245.3 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2601
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2374
52.9 IPS |
