To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
885
Single Precision Score
891
Half Precision Score
472
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | MaxG |
| Upload Date | September 16 2024 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon D-1541 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRockRack D1541D4U-2T8R |
| CPU Information | |
|---|---|
| Name | Intel Xeon D-1541 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 86 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (Q)
|
99% |
339
63.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
335
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
1069
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
973
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
85% |
330
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1035
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1068
8.23 IPS |
|
|
Depth Estimation (Q)
|
63% |
614
5.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (HP)
|
100% |
1429
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1718
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
521
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.0 IPS |
|
|
Text Classification (Q)
|
92% |
237
318.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
58% |
193
4.54 IPS |
