Intel X99
Geekbench AI Score
5485
Single Precision Score
9987
Half Precision Score
11057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 271belair |
| Upload Date | April 11 2025 08:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A310 LP Graphics (dGPU) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (HP)
|
100% |
4633
861.7 IPS |
|
|
Image Classification (Q)
|
100% |
4698
873.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4703
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8702
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9677
156.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18725
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
72670
84.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
124650
145.9 IPS |
|
|
Object Detection (SP)
|
100% |
2792
221.5 IPS |
|
|
Object Detection (HP)
|
100% |
5523
438.1 IPS |
|
|
Object Detection (Q)
|
88% |
5801
464.9 IPS |
|
|
Face Detection (SP)
|
100% |
7902
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
13115
155.8 IPS |
|
|
Face Detection (Q)
|
100% |
14085
167.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13876
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25444
196.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
28574
222.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45668
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
117990
151.7 IPS |
|
|
Style Transfer (Q)
|
98% |
163828
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13545
500.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13992
518.2 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
682
916.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1321
22.8 IPS |
