Supermicro X10DRi
Geekbench AI Score
6930
Single Precision Score
7111
Half Precision Score
5269
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 07:29 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| 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% |
1830
340.3 IPS |
|
|
Image Classification (HP)
|
100% |
2893
537.9 IPS |
|
|
Image Classification (Q)
|
99% |
1639
305.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4657
75.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4505
73.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3964
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
51139
59.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28401
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
41320
48.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
3700
293.5 IPS |
|
|
Object Detection (Q)
|
84% |
2140
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
5027
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
97% |
4458
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16261
125.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15296
118.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12695
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
83205
107.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49015
63.0 IPS |
|
|
Style Transfer (Q)
|
98% |
64833
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13894
513.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11050
408.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8771
324.8 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1704
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
756
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2274
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1182
22.2 IPS |
