ASUS All Series
Geekbench AI Score
56
Single Precision Score
55
Half Precision Score
40
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Protozua |
| Upload Date | January 15 2025 11:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-1680 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-E WS |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v4 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
6.00 IPS |
|
|
Image Classification (HP)
|
100% |
32
6.00 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.69 IPS |
|
|
Image Segmentation (SP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
44
0.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
33
0.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
51
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
51
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
40
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
31
2.47 IPS |
|
|
Object Detection (HP)
|
100% |
31
2.47 IPS |
|
|
Object Detection (Q)
|
87% |
24
1.93 IPS |
|
|
Face Detection (SP)
|
100% |
106
1.26 IPS |
|
|
Face Detection (HP)
|
100% |
106
1.26 IPS |
|
|
Face Detection (Q)
|
97% |
80
0.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
75
0.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
49
0.45 IPS |
|
|
Style Transfer (SP)
|
100% |
155
0.20 IPS |
|
|
Style Transfer (HP)
|
100% |
155
0.20 IPS |
|
|
Style Transfer (Q)
|
98% |
124
0.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33
1.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33
1.23 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
26
0.96 IPS |
|
|
Text Classification (SP)
|
100% |
42
55.8 IPS |
|
|
Text Classification (HP)
|
100% |
42
55.8 IPS |
|
|
Text Classification (Q)
|
91% |
30
40.1 IPS |
|
|
Machine Translation (SP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (HP)
|
100% |
80
1.38 IPS |
|
|
Machine Translation (Q)
|
58% |
40
0.96 IPS |
