ASRock Z690 AQUA
Geekbench AI Score
21938
Single Precision Score
34574
Half Precision Score
14469
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 30 2025 01:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock Z690 AQUA |
| Motherboard | ASRock Z690 AQUA |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10667
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
13421
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
8219
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16101
261.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19923
323.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12237
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
81694
95.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
335329
391.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65098
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
13096
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
16958
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
9904
795.0 IPS |
|
|
Face Detection (SP)
|
100% |
30022
356.7 IPS |
|
|
Face Detection (HP)
|
100% |
39331
467.3 IPS |
|
|
Face Detection (Q)
|
97% |
20444
243.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
64399
496.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100741
776.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36737
294.4 IPS |
|
|
Style Transfer (SP)
|
100% |
199575
256.6 IPS |
|
|
Style Transfer (HP)
|
100% |
541392
696.0 IPS |
|
|
Style Transfer (Q)
|
98% |
132044
170.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31491
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55144
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16432
608.4 IPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1875
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2031
38.1 IPS |
