Dell Inc. Dell G16 7630
Geekbench AI Score
2804
Single Precision Score
4046
Half Precision Score
6346
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | April 26 2025 09:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0V4JDG |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (Q)
|
99% |
4235
789.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4112
66.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4973
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4488
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3271
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13481
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
2505
199.3 IPS |
|
|
Object Detection (Q)
|
90% |
4696
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
8120
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
11023
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5317
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8778
67.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11951
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11659
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18010
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30729
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7088
262.5 IPS |
|
|
Text Classification (SP)
|
71% |
1219
1.76 KIPS |
|
|
Text Classification (HP)
|
71% |
1481
2.14 KIPS |
|
|
Text Classification (Q)
|
92% |
1481
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1921
33.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1870
32.2 IPS |
