Dell Inc. Dell G16 7630
Geekbench AI Score
19434
Single Precision Score
31764
Half Precision Score
14990
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 04:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0V4JDG |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| 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% |
7423
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
12127
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
6896
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13542
219.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17717
287.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12365
201.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
119501
139.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
307103
358.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
103683
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
9098
721.7 IPS |
|
|
Object Detection (HP)
|
100% |
15575
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
8315
669.4 IPS |
|
|
Face Detection (SP)
|
100% |
22520
267.6 IPS |
|
|
Face Detection (HP)
|
100% |
36851
437.9 IPS |
|
|
Face Detection (Q)
|
97% |
20138
240.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43793
337.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
81229
625.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35830
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
178171
229.0 IPS |
|
|
Style Transfer (HP)
|
100% |
438839
564.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156660
202.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34331
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48446
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24257
898.2 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1681
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3652
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3908
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1691
31.7 IPS |
