i7y Dedicated Computing OEM-A9101-00
Geekbench AI Score
4461
Single Precision Score
8686
Half Precision Score
3319
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | March 13 2025 06:07 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| 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% |
1689
314.1 IPS |
|
|
Image Classification (HP)
|
99% |
3739
697.5 IPS |
|
|
Image Classification (Q)
|
99% |
1532
285.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4750
77.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2334
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54443
63.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13390
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (HP)
|
100% |
4731
375.3 IPS |
|
|
Object Detection (Q)
|
83% |
1877
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7388
87.8 IPS |
|
|
Face Detection (Q)
|
97% |
3933
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9588
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21015
161.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7731
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25729
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70827
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22198
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10230
377.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4114
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2125
36.7 IPS |
|
|
Machine Translation (Q)
|
70% |
832
15.6 IPS |
