i7y TURBO OFF Dedicated Computing OEM-A9101-00
Geekbench AI Score
2130
Single Precision Score
778
Half Precision Score
2875
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 12 2025 11:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dedicated Computing OEM-A9101-00 |
| Motherboard | BCM Advanced Research MX610HD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
99% |
2690
501.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1329
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3542
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
11633
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
2498
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
4407
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4554
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1098
8.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
7514
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8397
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4968
6.39 IPS |
|
|
Style Transfer (Q)
|
98% |
14625
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2162
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
375
500.4 IPS |
|
|
Text Classification (Q)
|
97% |
268
358.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
65% |
1326
26.6 IPS |
