ASUS All Series
Geekbench AI Score
1547
Single Precision Score
1547
Half Precision Score
911
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | theturtle32 |
| Upload Date | March 21 2025 05:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-A II |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1234
229.5 IPS |
|
|
Image Classification (Q)
|
99% |
686
128.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
622
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1797
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1793
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
1896
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (HP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (Q)
|
85% |
727
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1463
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1274
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1960
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1946
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3262
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
1223
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
398
534.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (Q)
|
58% |
301
7.06 IPS |
