ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
4594
Single Precision Score
4820
Half Precision Score
11062
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 30 2025 01:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER |
| Motherboard | ASUSTeK COMPUTER INC. D701MER |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2945
547.8 IPS |
|
|
Image Classification (HP)
|
100% |
3043
566.0 IPS |
|
|
Image Classification (Q)
|
100% |
6918
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3819
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7159
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5583
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5611
6.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
20443
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
100% |
2894
229.5 IPS |
|
|
Object Detection (Q)
|
88% |
7292
584.6 IPS |
|
|
Face Detection (SP)
|
100% |
4696
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7388
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
16416
195.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7072
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6918
53.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
18193
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16479
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16621
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
56009
72.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11242
416.3 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4584
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4362
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4313
74.3 IPS |
