INTEL
Geekbench AI Score
1178
Single Precision Score
1277
Half Precision Score
801
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 13 2026 09:41 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% |
784
145.8 IPS |
|
|
Image Classification (HP)
|
100% |
1022
190.0 IPS |
|
|
Image Classification (Q)
|
99% |
516
96.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
538
8.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1516
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
3618
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
1111
88.1 IPS |
|
|
Object Detection (Q)
|
85% |
658
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1704
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1367
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1122
8.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
1163
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1450
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1588
2.04 IPS |
|
|
Style Transfer (Q)
|
98% |
3252
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
704
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
176
236.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (Q)
|
58% |
258
6.05 IPS |
