ASRock Z690M-ITX/ax
Geekbench AI Score
7462
Single Precision Score
8168
Half Precision Score
5223
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | WTT |
| Upload Date | August 20 2024 05:04 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | ASUS Radeon RX 590 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASRock Z690M-ITX/ax |
| Motherboard | ASRock Z690M-ITX/ax |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| 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% |
2791
519.1 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.3 IPS |
|
|
Image Classification (Q)
|
100% |
2155
400.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3831
62.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3085
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
54520
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60407
70.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
43980
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
2973
235.8 IPS |
|
|
Object Detection (HP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (Q)
|
89% |
2495
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
8581
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
9314
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
6510
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18619
143.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22716
175.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
13088
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
86697
111.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90352
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
65544
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11729
433.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13350
492.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7633
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
751
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1894
32.8 IPS |
|
|
Machine Translation (Q)
|
60% |
647
14.6 IPS |
