ASUS X99-A II ASUS All Series
Geekbench AI Score
2689
Single Precision Score
2709
Half Precision Score
3122
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | almaspite |
| Upload Date | February 25 2026 05:04 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. X99-A II |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
2083
387.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2220
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3522
4.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
4685
5.50 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (Q)
|
87% |
2039
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
5912
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4328
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4322
33.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5401
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10895
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10927
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13601
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2324
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2803
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1851
2.47 KIPS |
|
|
Text Classification (Q)
|
91% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2236
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2193
37.8 IPS |
