i3y with A1000 Dedicated Computing OEM-A9101-00
Geekbench AI Score
8958
Single Precision Score
17013
Half Precision Score
6210
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | April 02 2025 08:55 PM |
| Views | 8 |
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% |
3675
683.5 IPS |
|
|
Image Classification (HP)
|
99% |
7242
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
3165
590.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5749
93.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9449
153.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4922
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34807
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
114499
133.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29275
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4609
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
9285
736.5 IPS |
|
|
Object Detection (Q)
|
84% |
3474
280.2 IPS |
|
|
Face Detection (SP)
|
100% |
9949
118.2 IPS |
|
|
Face Detection (HP)
|
100% |
17276
205.3 IPS |
|
|
Face Detection (Q)
|
97% |
8223
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19884
153.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42704
329.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14833
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59736
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
183877
236.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46819
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13710
506.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24453
902.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7881
291.8 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3064
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1067
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2657
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1122
21.0 IPS |
