ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
2569
Single Precision Score
3879
Half Precision Score
6102
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1533
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.0 IPS |
|
|
Image Classification (Q)
|
99% |
4098
764.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3859
62.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4496
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4209
4.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
3071
3.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
12625
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
98% |
2260
179.9 IPS |
|
|
Object Detection (Q)
|
90% |
4326
345.9 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7657
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
10500
124.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4989
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8250
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11135
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10938
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16904
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28642
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6537
242.1 IPS |
|
|
Text Classification (SP)
|
71% |
1146
1.66 KIPS |
|
|
Text Classification (HP)
|
71% |
1422
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1450
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2223
38.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2242
38.6 IPS |
