Dell Inc. Precision 7780
Geekbench AI Score
22375
Single Precision Score
32431
Half Precision Score
17826
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 08:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7780 |
| Motherboard | Dell Inc. 0C6JVW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8800
1.64 KIPS |
|
|
Image Classification (HP)
|
99% |
12268
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
7825
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12496
202.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15233
246.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11929
194.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
166731
194.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
337364
393.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
137748
161.4 IPS |
|
|
Object Detection (SP)
|
100% |
11536
915.0 IPS |
|
|
Object Detection (HP)
|
100% |
14734
1.17 KIPS |
|
|
Object Detection (Q)
|
85% |
9491
763.5 IPS |
|
|
Face Detection (SP)
|
100% |
29562
351.3 IPS |
|
|
Face Detection (HP)
|
100% |
36458
433.2 IPS |
|
|
Face Detection (Q)
|
97% |
26482
315.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
60128
463.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111645
862.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
46895
374.5 IPS |
|
|
Style Transfer (SP)
|
100% |
255002
327.8 IPS |
|
|
Style Transfer (HP)
|
100% |
600170
771.5 IPS |
|
|
Style Transfer (Q)
|
98% |
252745
325.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39485
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52777
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30824
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3523
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1668
31.3 IPS |
