Dell Precision 7760 Dell Inc. Precision 7760
Geekbench AI Score
4094
Single Precision Score
8924
Half Precision Score
2740
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | EldeeGeekBench |
| Upload Date | December 29 2025 12:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A3000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 086PC6 |
| 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% |
2208
410.7 IPS |
|
|
Image Classification (HP)
|
99% |
4165
776.9 IPS |
|
|
Image Classification (Q)
|
99% |
1734
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1461
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19730
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
68966
80.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13612
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
100% |
4623
366.7 IPS |
|
|
Object Detection (Q)
|
85% |
1753
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (Q)
|
97% |
2221
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9768
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22176
170.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6660
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37653
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
116263
149.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23752
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5338
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12584
464.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3421
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
99% |
2884
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
664
888.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
70% |
496
9.30 IPS |
