EVGA Corp. Z790 CLASSIFIED
Geekbench AI Score
24374
Single Precision Score
34873
Half Precision Score
15032
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | LarryHope |
| Upload Date | February 04 2025 08:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z790 CLASSIFIED |
| Motherboard | EVGA Corp. Z790 CLASSIFIED |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9831
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
13255
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
6695
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14450
234.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18794
304.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10933
177.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
177783
207.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
359502
419.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
134317
157.4 IPS |
|
|
Object Detection (SP)
|
100% |
12512
992.4 IPS |
|
|
Object Detection (HP)
|
100% |
16453
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8586
690.7 IPS |
|
|
Face Detection (SP)
|
100% |
31332
372.3 IPS |
|
|
Face Detection (HP)
|
100% |
42096
500.2 IPS |
|
|
Face Detection (Q)
|
97% |
21696
258.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
67589
520.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107721
829.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39602
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
285211
366.6 IPS |
|
|
Style Transfer (HP)
|
100% |
636975
818.8 IPS |
|
|
Style Transfer (Q)
|
98% |
202450
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39427
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54981
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22883
847.3 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3383
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1320
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1329
24.9 IPS |
