ASRock Z690 AQUA
Geekbench AI Score
34771
Single Precision Score
40996
Half Precision Score
28887
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 28 2025 02:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
15209
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
16206
3.01 KIPS |
|
|
Image Classification (Q)
|
99% |
13531
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20631
334.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18762
304.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19087
310.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
275986
322.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
472268
551.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
250569
293.5 IPS |
|
|
Object Detection (SP)
|
100% |
17482
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
18258
1.45 KIPS |
|
|
Object Detection (Q)
|
87% |
15651
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
43775
520.1 IPS |
|
|
Face Detection (HP)
|
100% |
48192
572.6 IPS |
|
|
Face Detection (Q)
|
97% |
39402
469.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79547
612.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105031
809.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
67857
543.8 IPS |
|
|
Style Transfer (SP)
|
100% |
427642
549.7 IPS |
|
|
Style Transfer (HP)
|
100% |
667552
858.1 IPS |
|
|
Style Transfer (Q)
|
98% |
395693
510.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51453
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65309
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42288
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
3155
4.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4688
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2831
53.1 IPS |
