Dell Inc. Precision 7750
Geekbench AI Score
12946
Single Precision Score
21839
Half Precision Score
9228
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:44 AM |
| Views | 7 |
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% |
5522
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
9157
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
4290
800.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9452
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13172
213.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7591
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
61403
71.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
182049
212.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
52749
61.8 IPS |
|
|
Object Detection (SP)
|
100% |
6516
516.8 IPS |
|
|
Object Detection (HP)
|
100% |
11331
898.8 IPS |
|
|
Object Detection (Q)
|
84% |
5254
423.8 IPS |
|
|
Face Detection (SP)
|
100% |
16208
192.6 IPS |
|
|
Face Detection (HP)
|
100% |
26142
310.6 IPS |
|
|
Face Detection (Q)
|
97% |
12858
153.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33111
255.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62574
482.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
22752
182.2 IPS |
|
|
Style Transfer (SP)
|
100% |
106834
137.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256466
329.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90804
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21429
791.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32304
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13351
494.4 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
