Dell Inc. Precision 7750
Geekbench AI Score
4204
Single Precision Score
4252
Half Precision Score
6089
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2026 12:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-10885M CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7750 |
| Motherboard | Dell Inc. 03KR29 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-10885M |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2605
484.4 IPS |
|
|
Image Classification (HP)
|
100% |
2696
501.3 IPS |
|
|
Image Classification (Q)
|
100% |
4368
812.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3059
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3098
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5046
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4574
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
10581
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.7 IPS |
|
|
Object Detection (HP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (Q)
|
87% |
3140
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
5027
59.7 IPS |
|
|
Face Detection (Q)
|
97% |
12006
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6632
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6607
50.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
12039
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16651
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16389
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32882
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6721
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (Q)
|
91% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3653
62.9 IPS |
