INTEL
Geekbench AI Score
3105
Single Precision Score
3218
Half Precision Score
3004
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | dolpa_me |
| Upload Date | September 07 2025 05:16 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | INTEL |
| Motherboard | INTEL X99-2D4 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| Topology | 2 Processors, 44 Cores, 88 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 121.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
100% |
1891
351.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2874
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4766
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4800
5.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
5629
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
2086
165.4 IPS |
|
|
Object Detection (Q)
|
87% |
2075
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
5967
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (Q)
|
97% |
6320
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5130
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5151
39.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5969
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14571
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14657
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16338
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2937
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (Q)
|
91% |
308
414.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1691
29.1 IPS |
