Dell Inc. Precision 7560
Geekbench AI Score
1568
Single Precision Score
1607
Half Precision Score
1060
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 05:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 7560 |
| Motherboard | Dell Inc. 0G01WF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
100% |
595
110.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4701
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5230
6.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3246
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (HP)
|
98% |
635
50.5 IPS |
|
|
Object Detection (Q)
|
86% |
633
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2845
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3150
24.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2111
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9964
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13436
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
7384
9.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2370
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
868
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.7 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.5 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
352
6.61 IPS |
