Z690 Steel Legend
Geekbench AI Score
37270
Single Precision Score
53469
Half Precision Score
27850
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 25 2025 05:26 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 6000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z690 Steel Legend |
| Motherboard | ASRock Z690 Steel Legend |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13367
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
17755
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11442
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25976
421.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32477
526.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23598
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
265984
310.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
654434
763.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
230965
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
18668
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
23560
1.87 KIPS |
|
|
Object Detection (Q)
|
86% |
15416
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
54883
652.1 IPS |
|
|
Face Detection (HP)
|
100% |
69004
819.9 IPS |
|
|
Face Detection (Q)
|
97% |
46218
551.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93225
718.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
154116
1.19 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68370
547.4 IPS |
|
|
Style Transfer (SP)
|
100% |
520389
669.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1064434
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
442056
570.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56883
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78849
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42056
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4341
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2063
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5674
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5545
95.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2410
45.2 IPS |
