Dell Inc. Dell G16 7630
Geekbench AI Score
4316
Single Precision Score
1365
Half Precision Score
7068
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 05:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3588
667.3 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
99% |
5836
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10122
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8340
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3800
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
22482
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
6025
484.3 IPS |
|
|
Face Detection (SP)
|
100% |
9724
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
9463
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9657
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1814
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9619
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18934
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9728
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22019
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.9 IPS |
|
|
Text Classification (Q)
|
97% |
1301
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2983
59.9 IPS |
