Dell Inc. Dell G16 7630
Geekbench AI Score
18787
Single Precision Score
29988
Half Precision Score
14593
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mspant |
| Upload Date | January 06 2025 12:54 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7848
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
12491
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
6951
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11612
188.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14360
232.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10711
174.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
115290
134.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
294838
344.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
101533
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
9235
732.6 IPS |
|
|
Object Detection (HP)
|
100% |
15311
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
8077
650.2 IPS |
|
|
Face Detection (SP)
|
100% |
21694
257.8 IPS |
|
|
Face Detection (HP)
|
100% |
32105
381.5 IPS |
|
|
Face Detection (Q)
|
97% |
19149
228.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43389
334.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84784
653.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35667
285.0 IPS |
|
|
Style Transfer (SP)
|
100% |
179345
230.6 IPS |
|
|
Style Transfer (HP)
|
100% |
429299
551.9 IPS |
|
|
Style Transfer (Q)
|
98% |
158804
204.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34600
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48513
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23786
880.8 IPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1680
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3065
52.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3239
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1656
31.1 IPS |
