Dell Inc. Precision 7750
Geekbench AI Score
13342
Single Precision Score
22509
Half Precision Score
9344
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7750 |
| Motherboard | Dell Inc. 06C9TK |
| 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% |
5628
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
9352
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
4329
807.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9552
154.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13561
219.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7683
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
62886
73.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
186838
218.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
53058
62.2 IPS |
|
|
Object Detection (SP)
|
100% |
6667
528.8 IPS |
|
|
Object Detection (HP)
|
100% |
11954
948.2 IPS |
|
|
Object Detection (Q)
|
84% |
5293
426.9 IPS |
|
|
Face Detection (SP)
|
100% |
16810
199.7 IPS |
|
|
Face Detection (HP)
|
100% |
26961
320.4 IPS |
|
|
Face Detection (Q)
|
97% |
13239
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33981
261.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
62465
481.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23106
185.1 IPS |
|
|
Style Transfer (SP)
|
100% |
115769
148.8 IPS |
|
|
Style Transfer (HP)
|
100% |
266985
343.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94537
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21863
807.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33797
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13616
504.2 IPS |
|
|
Text Classification (SP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (HP)
|
99% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3055
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1293
24.2 IPS |
