Intel X99
Geekbench AI Score
3327
Single Precision Score
3320
Half Precision Score
3679
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | March 07 2025 07:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Intel X99 |
| Motherboard | Intel X99 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (Q)
|
100% |
2504
465.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2693
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3694
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4476
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4496
5.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
7710
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.0 IPS |
|
|
Object Detection (HP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (Q)
|
87% |
2702
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (Q)
|
97% |
7898
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5721
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6414
49.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8188
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15734
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12962
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21709
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2680
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2643
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4243
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
1679
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1658
2.21 KIPS |
|
|
Text Classification (Q)
|
91% |
265
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1496
25.8 IPS |
