su-ONNX-cpu Dell Inc. Precision 5550
Geekbench AI Score
2093
Single Precision Score
848
Half Precision Score
2646
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | myi2000 |
| Upload Date | September 11 2025 04:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10875H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5550 |
| Motherboard | Dell Inc. 0GX59H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10875H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
96% |
2119
395.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
2775
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3677
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2808
3.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
5823
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
58% |
1503
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (Q)
|
96% |
3812
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4467
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1196
9.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
5349
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8498
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6463
8.31 IPS |
|
|
Style Transfer (Q)
|
87% |
9254
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2168
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.2 IPS |
|
|
Text Classification (Q)
|
97% |
629
842.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1271
24.6 IPS |
