ASRock Z690 AQUA
Geekbench AI Score
11140
Single Precision Score
20583
Half Precision Score
21765
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 16 2025 03:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro A60 Graphics (dGPU) |
| 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% |
5435
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
8802
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
8939
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11309
183.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18397
298.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18966
307.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
41812
48.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
179102
209.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
243922
285.6 IPS |
|
|
Object Detection (SP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (HP)
|
100% |
10370
822.6 IPS |
|
|
Object Detection (Q)
|
88% |
11240
900.8 IPS |
|
|
Face Detection (SP)
|
100% |
18406
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
27530
327.1 IPS |
|
|
Face Detection (Q)
|
100% |
29532
350.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23450
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54520
420.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
55610
432.3 IPS |
|
|
Style Transfer (SP)
|
100% |
108029
138.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235355
302.6 IPS |
|
|
Style Transfer (Q)
|
98% |
315654
407.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14040
518.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26586
981.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26585
984.5 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1356
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2741
47.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2747
47.3 IPS |
