ASRock Z690 AQUA
Geekbench AI Score
1883
Single Precision Score
1133
Half Precision Score
3476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity174 |
| Upload Date | February 06 2025 09:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G6900 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock Z690 AQUA |
| Motherboard | ASRock Z690 AQUA |
| CPU Information | |
|---|---|
| Name | Intel Celeron G6900 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
99% |
3131
584.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
8593
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.3 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
86% |
2560
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
1400
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
5833
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7920
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5993
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4604
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
12339
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3102
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
653
874.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1855
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2206
44.3 IPS |
