Dell Inc. Precision 7750
Geekbench AI Score
4289
Single Precision Score
4296
Half Precision Score
6377
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 20 2026 12:26 PM |
| Views | 3 |
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% |
2791
519.0 IPS |
|
|
Image Classification (HP)
|
100% |
2887
536.8 IPS |
|
|
Image Classification (Q)
|
100% |
4270
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5096
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4678
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4743
5.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
10918
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2605
206.7 IPS |
|
|
Object Detection (Q)
|
87% |
4493
360.3 IPS |
|
|
Face Detection (SP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
5033
59.8 IPS |
|
|
Face Detection (Q)
|
97% |
12158
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6558
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6751
52.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
12411
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16660
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16419
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32032
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3522
130.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6822
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3723
64.1 IPS |
