Dell Inc. Dell G16 7630
Geekbench AI Score
20665
Single Precision Score
33457
Half Precision Score
15833
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | July 13 2025 03:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
8416
1.57 KIPS |
|
|
Image Classification (HP)
|
99% |
13871
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
7505
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13881
225.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18292
296.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13124
213.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
115633
134.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
312305
364.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
100401
117.6 IPS |
|
|
Object Detection (SP)
|
100% |
9728
771.7 IPS |
|
|
Object Detection (HP)
|
100% |
16557
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8637
695.3 IPS |
|
|
Face Detection (SP)
|
100% |
24746
294.0 IPS |
|
|
Face Detection (HP)
|
100% |
38854
461.7 IPS |
|
|
Face Detection (Q)
|
97% |
21882
260.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
48625
374.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85138
655.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39042
312.0 IPS |
|
|
Style Transfer (SP)
|
100% |
186679
240.0 IPS |
|
|
Style Transfer (HP)
|
100% |
431005
554.1 IPS |
|
|
Style Transfer (Q)
|
98% |
159227
205.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36515
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53852
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25827
956.3 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1838
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4267
73.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1796
33.7 IPS |
