INTEL
Geekbench AI Score
1211
Single Precision Score
1246
Half Precision Score
808
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | dolpa_me |
| Upload Date | September 06 2025 11:35 AM |
| Views | 10 |
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 25.04 |
| 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% |
826
153.7 IPS |
|
|
Image Classification (HP)
|
100% |
1102
204.9 IPS |
|
|
Image Classification (Q)
|
99% |
607
113.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
535
8.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
1680
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1583
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
3244
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
85% |
739
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1098
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1162
8.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
1083
8.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
1173
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1614
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1373
1.76 IPS |
|
|
Style Transfer (Q)
|
98% |
3718
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
711
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
175
234.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
58% |
256
6.01 IPS |
