INNODISKTek AIB-SQ67
Geekbench AI Score
9773
Single Precision Score
17744
Half Precision Score
6706
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 Embedded GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | INNODISKTek AIB-SQ67 |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4351
809.2 IPS |
|
|
Image Classification (HP)
|
99% |
8061
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
3206
596.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5592
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8040
130.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4727
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
40914
47.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
142178
165.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
35183
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4933
391.3 IPS |
|
|
Object Detection (HP)
|
100% |
9320
739.3 IPS |
|
|
Object Detection (Q)
|
89% |
3501
280.2 IPS |
|
|
Face Detection (SP)
|
100% |
9973
118.5 IPS |
|
|
Face Detection (HP)
|
100% |
15822
188.0 IPS |
|
|
Face Detection (Q)
|
97% |
7762
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23056
177.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49316
381.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
16762
135.1 IPS |
|
|
Style Transfer (SP)
|
100% |
73213
94.1 IPS |
|
|
Style Transfer (HP)
|
100% |
193127
248.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59655
76.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15659
578.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28601
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9554
353.8 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
60% |
966
21.5 IPS |
