INTEL X99
Geekbench AI Score
2380
Single Precision Score
909
Half Precision Score
2576
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
759
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1288
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8300
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4773
5.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
12404
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (Q)
|
58% |
1920
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
4544
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5935
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
7586
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17669
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11650
15.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8317
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1758
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
97% |
277
370.5 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
1334
25.8 IPS |
