Intel X99
Geekbench AI Score
2230
Single Precision Score
854
Half Precision Score
2115
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | May 11 2025 02:30 PM |
| Views | 10 |
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% |
2387
443.9 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
1988
371.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
910
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4096
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
5939
7.02 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
1514
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (Q)
|
96% |
3971
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5302
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1088
8.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
5114
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10788
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9192
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
7063
9.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1532
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
360
480.5 IPS |
|
|
Text Classification (Q)
|
97% |
267
357.2 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.95 IPS |
|
|
Machine Translation (Q)
|
68% |
1452
28.1 IPS |
