ASUSTeK COMPUTER INC. BM1AF_BP1AF_BM6AF
Geekbench AI Score
1136
Single Precision Score
595
Half Precision Score
1277
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1231 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUSTeK COMPUTER INC. BM1AF_BP1AF_BM6AF |
| Motherboard | ASUSTeK COMPUTER INC. BM1AF_BP1AF_BM6AF |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1231 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
96% |
950
177.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
905
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1600
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1496
1.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
2172
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
58% |
720
78.7 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
96% |
2348
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2124
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
867
6.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2526
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4464
5.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3470
4.46 IPS |
|
|
Style Transfer (Q)
|
87% |
4729
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
876
32.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1134
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (Q)
|
97% |
273
366.2 IPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
68% |
992
19.2 IPS |
