INTEL X99
Geekbench AI Score
2586
Single Precision Score
794
Half Precision Score
2549
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 11:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2683 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
96% |
2389
446.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1390
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7645
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
10830
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
1899
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.86 IPS |
|
|
Face Detection (Q)
|
96% |
4769
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7043
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1086
8.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
7357
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9222
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
9122
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1653
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1618
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
725
968.2 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.7 IPS |
|
|
Text Classification (Q)
|
97% |
274
366.7 IPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
68% |
1196
23.1 IPS |
