Z690 Steel Legend
Geekbench AI Score
23894
Single Precision Score
37496
Half Precision Score
14490
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Z690 Steel Legend |
| Motherboard | ASRock Z690 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9744
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
14401
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
6503
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16329
264.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23784
385.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11778
191.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
133570
155.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
389061
454.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105210
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
11972
949.6 IPS |
|
|
Object Detection (HP)
|
100% |
17626
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
8044
647.1 IPS |
|
|
Face Detection (SP)
|
100% |
31501
374.3 IPS |
|
|
Face Detection (HP)
|
100% |
45118
536.1 IPS |
|
|
Face Detection (Q)
|
97% |
21331
254.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61403
473.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106468
820.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36161
289.7 IPS |
|
|
Style Transfer (SP)
|
100% |
244070
313.8 IPS |
|
|
Style Transfer (HP)
|
100% |
596502
766.8 IPS |
|
|
Style Transfer (Q)
|
98% |
180650
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36868
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48119
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20093
744.0 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1531
28.7 IPS |
