ASRock Z690 AQUA
Geekbench AI Score
2249
Single Precision Score
1194
Half Precision Score
6097
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity174 |
| Upload Date | February 06 2025 09:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) 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% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (Q)
|
100% |
3843
714.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
4336
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (Q)
|
98% |
9187
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (Q)
|
88% |
3809
305.4 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (Q)
|
100% |
9653
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3369
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
10257
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6434
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
4416
5.68 IPS |
|
|
Style Transfer (Q)
|
98% |
24114
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2650
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2479
42.7 IPS |
