EVGA Corp. Z790 DARK KINGPIN
Geekbench AI Score
40889
Single Precision Score
56870
Half Precision Score
30276
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | August 16 2024 09:51 PM |
| Views | 40 |
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% |
15980
2.97 KIPS |
|
|
Image Classification (HP)
|
99% |
21195
3.95 KIPS |
|
|
Image Classification (Q)
|
100% |
13287
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24236
392.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29555
479.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22224
361.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
336315
392.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
557858
650.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
281490
329.6 IPS |
|
|
Object Detection (SP)
|
100% |
20911
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
27048
2.15 KIPS |
|
|
Object Detection (Q)
|
89% |
17730
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
51821
615.7 IPS |
|
|
Face Detection (HP)
|
100% |
65497
778.3 IPS |
|
|
Face Detection (Q)
|
97% |
42478
506.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92510
712.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
173235
1.33 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66463
538.9 IPS |
|
|
Style Transfer (SP)
|
100% |
580353
746.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1197670
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
500907
645.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70036
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92239
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50845
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5510
7.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2577
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5596
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5421
93.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2370
52.9 IPS |
