ASUSTeK COMPUTER INC. ASUS EXPERTCENTER D701MER
Geekbench AI Score
4861
Single Precision Score
4674
Half Precision Score
11157
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:45 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% |
2907
540.6 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.1 IPS |
|
|
Image Classification (Q)
|
100% |
6959
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7113
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5751
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5763
6.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
21031
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2861
227.0 IPS |
|
|
Object Detection (HP)
|
100% |
2871
227.8 IPS |
|
|
Object Detection (Q)
|
88% |
7353
589.5 IPS |
|
|
Face Detection (SP)
|
100% |
7656
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
16288
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7286
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7323
56.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18441
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17118
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17213
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
57620
74.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3529
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11274
417.5 IPS |
|
|
Text Classification (SP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4568
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4338
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4383
75.5 IPS |
