MACHINIST
Geekbench AI Score
2871
Single Precision Score
937
Half Precision Score
2547
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MACHINIST |
| Motherboard | MACHINIST X99-MR9S |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2673
497.1 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
96% |
2929
547.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1352
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5448
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4122
4.81 IPS |
|
|
Pose Estimation (Q)
|
86% |
7366
8.71 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
58% |
1879
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
4487
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
4847
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6699
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1169
9.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
6405
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12066
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10122
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
9753
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.8 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
68% |
1456
28.1 IPS |
