Dell Inc. Precision 7550
Geekbench AI Score
4196
Single Precision Score
4184
Half Precision Score
6176
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 02:29 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10885H CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision 7550 |
| Motherboard | Dell Inc. 05WP4T |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2839
527.9 IPS |
|
|
Image Classification (HP)
|
100% |
2806
521.9 IPS |
|
|
Image Classification (Q)
|
100% |
4467
830.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3058
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3054
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4899
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5671
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5570
6.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
10698
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (Q)
|
87% |
4347
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (Q)
|
97% |
11368
135.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6810
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6802
52.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11339
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15443
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15572
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30743
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3124
115.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6420
237.8 IPS |
|
|
Text Classification (SP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
91% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3688
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3650
62.9 IPS |
