NVME-SATA 32GB Dedicated Computing OEM-A9101-00 Dedicated Computing OEM-A9101-00
Geekbench AI Score
1272
Single Precision Score
1320
Half Precision Score
901
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 22 2025 03:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| 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% |
562
104.5 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (Q)
|
100% |
496
92.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2576
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (HP)
|
98% |
549
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
530
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
996
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2352
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2566
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1790
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7377
9.48 IPS |
|
|
Style Transfer (HP)
|
100% |
10323
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5737
7.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.9 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.2 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
70% |
331
6.21 IPS |
