ASUS All Series
Geekbench AI Score
1342
Single Precision Score
1362
Half Precision Score
696
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 11:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2640 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE V EDITION 10 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 v4 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
874
162.5 IPS |
|
|
Image Classification (HP)
|
100% |
1004
186.8 IPS |
|
|
Image Classification (Q)
|
99% |
437
81.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1766
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
1666
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
1081
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
85% |
544
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1543
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1635
12.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1011
9.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2083
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
2017
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2869
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
759
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
244
328.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
58% |
269
6.32 IPS |
