Dell Inc. Precision 5570
Geekbench AI Score
4732
Single Precision Score
6092
Half Precision Score
9394
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | decryp7 |
| Upload Date | September 24 2025 07:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5570 |
| Motherboard | Dell Inc. 04NDTC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2869
533.5 IPS |
|
|
Image Classification (HP)
|
100% |
3130
582.2 IPS |
|
|
Image Classification (Q)
|
99% |
5315
991.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4699
76.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7261
117.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8634
140.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10266
12.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
7599
8.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
31081
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2851
226.2 IPS |
|
|
Object Detection (HP)
|
100% |
3790
300.6 IPS |
|
|
Object Detection (Q)
|
90% |
6064
484.8 IPS |
|
|
Face Detection (SP)
|
100% |
8055
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
12145
144.3 IPS |
|
|
Face Detection (Q)
|
100% |
16510
196.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9880
76.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
15064
116.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20348
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27161
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35285
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
72423
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4411
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6294
232.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9652
357.4 IPS |
|
|
Text Classification (SP)
|
71% |
1089
1.57 KIPS |
|
|
Text Classification (HP)
|
71% |
1233
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2148
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2157
37.3 IPS |
