MACHINIST X99 PR9
Geekbench AI Score
1293
Single Precision Score
539
Half Precision Score
1689
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 05:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630L v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | MACHINIST X99 PR9 |
| Motherboard | MACHINIST X99 PR9 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630L v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
96% |
1378
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1491
1.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
3040
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
58% |
980
107.1 IPS |
|
|
Face Detection (SP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (Q)
|
96% |
2491
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2718
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
3339
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5096
6.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3674
4.72 IPS |
|
|
Style Transfer (Q)
|
87% |
5582
7.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1316
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.0 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.3 IPS |
|
|
Text Classification (Q)
|
97% |
505
676.7 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (Q)
|
68% |
866
16.7 IPS |
