ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
9483
Single Precision Score
18184
Half Precision Score
6422
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 03:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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% |
4003
744.5 IPS |
|
|
Image Classification (HP)
|
99% |
7908
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3281
612.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5962
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10659
172.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4909
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39233
45.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
132272
154.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32706
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
4680
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
9653
765.7 IPS |
|
|
Object Detection (Q)
|
84% |
3768
303.9 IPS |
|
|
Face Detection (SP)
|
100% |
10115
120.2 IPS |
|
|
Face Detection (HP)
|
100% |
18409
218.7 IPS |
|
|
Face Detection (Q)
|
97% |
8075
96.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21793
167.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46364
357.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
16214
130.0 IPS |
|
|
Style Transfer (SP)
|
100% |
64993
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
170054
218.6 IPS |
|
|
Style Transfer (Q)
|
98% |
50983
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12726
469.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25152
928.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7694
284.9 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3133
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3033
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1108
20.8 IPS |
