EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
40619
Single Precision Score
56163
Half Precision Score
30364
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:08 PM |
| Views | 38 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
15804
2.94 KIPS |
|
|
Image Classification (HP)
|
99% |
20945
3.91 KIPS |
|
|
Image Classification (Q)
|
100% |
13177
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23865
386.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29029
470.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21895
356.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
335573
391.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
550155
641.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
298660
349.7 IPS |
|
|
Object Detection (SP)
|
100% |
20536
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
26417
2.10 KIPS |
|
|
Object Detection (Q)
|
89% |
17426
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
49837
592.2 IPS |
|
|
Face Detection (HP)
|
100% |
64519
766.6 IPS |
|
|
Face Detection (Q)
|
97% |
42856
511.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
94687
729.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
169983
1.31 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67124
544.2 IPS |
|
|
Style Transfer (SP)
|
100% |
595402
765.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1190394
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
507304
654.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69559
2.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92222
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50381
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (HP)
|
99% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2563
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5489
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2355
52.5 IPS |
