Dell Inc. Dell G16 7630
Geekbench AI Score
1850
Single Precision Score
1911
Half Precision Score
1240
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | April 26 2025 09:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
780
145.1 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.8 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5594
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
3749
4.39 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
98% |
750
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
737
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3273
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3544
27.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2415
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11388
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15188
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8474
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
988
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
507
677.2 IPS |
|
|
Text Classification (Q)
|
97% |
439
588.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
70% |
487
9.13 IPS |
