Dell Inc. Dell G16 7630
Geekbench AI Score
4709
Single Precision Score
1365
Half Precision Score
6605
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 04:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| 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% |
3800
706.8 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
6315
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3806
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4352
5.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
27026
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3672
291.2 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
6653
534.7 IPS |
|
|
Face Detection (SP)
|
100% |
9961
118.4 IPS |
|
|
Face Detection (HP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
9556
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9871
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1647
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
15134
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21566
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10528
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23642
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3225
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
505
674.6 IPS |
|
|
Text Classification (Q)
|
97% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
566
9.76 IPS |
|
|
Machine Translation (Q)
|
65% |
3331
66.9 IPS |
