i3y with A1000 Dedicated Computing OEM-A9101-00
Geekbench AI Score
8864
Single Precision Score
16966
Half Precision Score
6131
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | April 04 2025 12:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| 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 i3-12100E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3521
654.8 IPS |
|
|
Image Classification (HP)
|
99% |
7150
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
2834
528.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5953
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9487
153.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4754
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
33545
39.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
120849
141.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29014
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4373
346.9 IPS |
|
|
Object Detection (HP)
|
100% |
9352
741.8 IPS |
|
|
Object Detection (Q)
|
84% |
3415
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
9245
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
17076
202.9 IPS |
|
|
Face Detection (Q)
|
97% |
8095
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20189
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43885
338.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15011
120.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61473
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171322
220.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49553
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13753
507.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23764
877.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7943
294.1 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1059
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2708
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1111
20.8 IPS |
