Dell Inc. Precision 7780
Geekbench AI Score
15179
Single Precision Score
26516
Half Precision Score
11753
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 09:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 7780 |
| Motherboard | Dell Inc. 0342YC |
| Power Plan | Hengst |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5751
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
11088
2.07 KIPS |
|
|
Image Classification (Q)
|
99% |
5307
989.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10849
175.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15437
250.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9566
155.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
72255
84.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
218906
255.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
63014
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
6907
547.8 IPS |
|
|
Object Detection (HP)
|
100% |
11957
948.4 IPS |
|
|
Object Detection (Q)
|
84% |
6352
512.3 IPS |
|
|
Face Detection (SP)
|
100% |
17472
207.6 IPS |
|
|
Face Detection (HP)
|
100% |
31212
370.9 IPS |
|
|
Face Detection (Q)
|
97% |
15885
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34451
265.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
69969
539.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
28750
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
119413
153.5 IPS |
|
|
Style Transfer (HP)
|
100% |
303863
390.6 IPS |
|
|
Style Transfer (Q)
|
98% |
107628
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24951
921.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41004
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17610
652.1 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3736
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1650
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1733
32.5 IPS |
