EVGA Corp. Z690 CLASSIFIED
Geekbench ML Score
28584
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:57 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA Corp. Z690 CLASSIFIED |
| Motherboard | EVGA Corp. Z690 CLASSIFIED |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12297
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
13610
2.55 KIPS |
|
|
Image Classification (I8)
|
100% |
11331
2.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19317
322.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
19421
324.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
17300
288.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
284746
344.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
284511
344.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
239346
289.8 IPS |
|
|
Object Detection (F32)
|
100% |
8090
604.0 IPS |
|
|
Object Detection (F16)
|
100% |
8321
621.2 IPS |
|
|
Object Detection (I8)
|
54% |
7659
571.8 IPS |
|
|
Face Detection (F32)
|
100% |
42238
502.2 IPS |
|
|
Face Detection (F16)
|
100% |
41574
494.3 IPS |
|
|
Face Detection (I8)
|
88% |
36651
435.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
80068
620.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
79675
617.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
62970
488.3 IPS |
|
|
Style Transfer (F32)
|
100% |
488247
642.2 IPS |
|
|
Style Transfer (F16)
|
100% |
487537
641.3 IPS |
|
|
Style Transfer (I8)
|
98% |
425201
559.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
53517
1.91 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53948
1.93 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
39935
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
3244
4.66 KIPS |
|
|
Text Classification (F16)
|
100% |
3386
4.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1891
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
4836
89.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4833
88.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2680
49.3 IPS |
