ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
9118
Single Precision Score
17588
Half Precision Score
6201
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 03:11 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% |
3934
731.6 IPS |
|
|
Image Classification (HP)
|
99% |
7422
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3135
584.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10339
167.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4729
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
38063
44.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
127194
148.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32032
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
9634
764.2 IPS |
|
|
Object Detection (Q)
|
84% |
3520
283.9 IPS |
|
|
Face Detection (SP)
|
100% |
8753
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
16598
197.2 IPS |
|
|
Face Detection (Q)
|
97% |
7198
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21249
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45747
352.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15815
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
63553
81.7 IPS |
|
|
Style Transfer (HP)
|
100% |
175676
225.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51268
66.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12191
450.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24476
903.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7457
276.1 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3086
4.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1083
20.3 IPS |
