Supermicro X10DRi
Geekbench AI Score
2612
Single Precision Score
785
Half Precision Score
3091
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 07:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2673 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro X10DRi |
| Motherboard | Supermicro X10DRI-T |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2673 v4 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
425
6.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
4252
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9381
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
13131
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
340
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
2021
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
5483
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
752
8.94 IPS |
|
|
Face Detection (Q)
|
96% |
5204
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7213
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1080
8.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
6487
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15298
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7150
9.19 IPS |
|
|
Style Transfer (Q)
|
87% |
9569
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2191
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
546
728.5 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.6 IPS |
|
|
Text Classification (Q)
|
97% |
438
587.1 IPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
68% |
988
19.1 IPS |
