Dell Inc. Dell G16 7630
Geekbench AI Score
18948
Single Precision Score
31575
Half Precision Score
14669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | April 26 2025 09:34 PM |
| Views | 11 |
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% |
6723
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
12028
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
6709
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13411
217.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17847
289.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12226
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
113014
131.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
293487
342.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
99128
116.1 IPS |
|
|
Object Detection (SP)
|
100% |
8768
695.5 IPS |
|
|
Object Detection (HP)
|
100% |
15342
1.22 KIPS |
|
|
Object Detection (Q)
|
85% |
7973
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
20941
248.8 IPS |
|
|
Face Detection (HP)
|
100% |
34271
407.2 IPS |
|
|
Face Detection (Q)
|
97% |
18739
223.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
47159
363.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85556
659.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
37457
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
178370
229.3 IPS |
|
|
Style Transfer (HP)
|
100% |
428954
551.4 IPS |
|
|
Style Transfer (Q)
|
98% |
156770
202.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34564
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51486
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23949
886.8 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1720
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3899
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1570
29.5 IPS |
