Dell Inc. Dell G16 7630
Geekbench AI Score
4159
Single Precision Score
1320
Half Precision Score
6875
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mubtafa |
| Upload Date | March 18 2026 08:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0T0TCH |
| 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% |
3031
563.7 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
99% |
4893
912.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9172
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8112
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3815
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
24564
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
5802
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
9744
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
9694
115.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9355
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1804
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
13437
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19721
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9261
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22049
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3000
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4316
159.8 IPS |
|
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.4 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1784
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2430
48.8 IPS |
