INTEL X99
Geekbench AI Score
1250
Single Precision Score
1248
Half Precision Score
1066
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | rockettc |
| Upload Date | April 18 2025 09:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
986
183.3 IPS |
|
|
Image Classification (HP)
|
100% |
973
180.9 IPS |
|
|
Image Classification (Q)
|
99% |
784
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1801
2.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3602
4.22 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
85% |
926
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1751
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1394
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1472
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1747
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1752
2.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3748
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
590
786.8 IPS |
|
|
Text Classification (HP)
|
100% |
626
835.8 IPS |
|
|
Text Classification (Q)
|
92% |
322
432.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
58% |
298
7.00 IPS |
