INTEL
Geekbench AI Score
1224
Single Precision Score
1279
Half Precision Score
847
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 09:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2699C v4 @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| 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% |
818
152.2 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (Q)
|
99% |
610
113.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
538
8.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1577
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1586
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
3514
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (Q)
|
85% |
745
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1181
9.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
1188
9.16 IPS |
|
|
Depth Estimation (Q)
|
63% |
1131
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1463
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3673
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.0 IPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
178
238.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
58% |
256
6.01 IPS |
