i3y with A1000 Dedicated Computing OEM-A9101-00
Geekbench AI Score
8866
Single Precision Score
17047
Half Precision Score
6200
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | April 02 2025 08:57 PM |
| Views | 12 |
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% |
3559
661.9 IPS |
|
|
Image Classification (HP)
|
99% |
7173
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
2947
549.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9419
152.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4907
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34021
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
119156
139.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28966
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
9402
745.8 IPS |
|
|
Object Detection (Q)
|
84% |
3620
292.0 IPS |
|
|
Face Detection (SP)
|
100% |
9491
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
17217
204.6 IPS |
|
|
Face Detection (Q)
|
97% |
7868
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20242
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44761
344.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14675
117.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57819
74.3 IPS |
|
|
Style Transfer (HP)
|
100% |
179576
230.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49478
63.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13748
507.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23548
869.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8072
298.9 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3031
4.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1062
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2772
47.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1132
21.2 IPS |
