Intel X99
Geekbench AI Score
1843
Single Precision Score
732
Half Precision Score
1925
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TiggerTH |
| Upload Date | March 05 2025 01:37 PM |
| Views | 18 |
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 |
| Power Plan | Bitsum Highest Performance |
| 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% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
96% |
2145
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
97% |
1151
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3115
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2447
2.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
5249
6.20 IPS |
|
|
Object Detection (SP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.7 IPS |
|
|
Object Detection (Q)
|
58% |
1323
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (Q)
|
96% |
3604
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4129
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
994
7.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
4802
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7438
9.56 IPS |
|
|
Style Transfer (HP)
|
100% |
5995
7.71 IPS |
|
|
Style Transfer (Q)
|
87% |
6635
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1380
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
344
458.8 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.6 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1136
21.9 IPS |
