Intel X99
Geekbench AI Score
2242
Single Precision Score
853
Half Precision Score
2144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 11 2025 02:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2670 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99H |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2670 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1175
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4464
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
5971
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
1511
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
96% |
3962
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5445
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1076
8.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
5172
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10576
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9252
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
7125
9.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1527
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
380
507.4 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.8 IPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1449
28.0 IPS |
