ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
4629
Single Precision Score
4646
Half Precision Score
11113
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 30 2025 01:06 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% |
2890
537.5 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (Q)
|
100% |
6858
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3779
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3810
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7031
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5705
6.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
20893
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
2817
223.4 IPS |
|
|
Object Detection (Q)
|
88% |
7249
581.1 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
16697
198.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7325
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7221
55.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
18471
143.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17027
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16996
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
57516
74.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3534
130.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11349
420.3 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4578
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4269
73.5 IPS |
