Dell Inc. Dell G16 7630
Geekbench AI Score
17437
Single Precision Score
26445
Half Precision Score
13512
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SomeCuteDoragons |
| Upload Date | February 26 2025 04:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0V4JDG |
| 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% |
6655
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
11327
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
6828
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11268
182.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13805
223.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10199
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
112327
131.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
277955
324.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
96245
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
9358
742.2 IPS |
|
|
Object Detection (HP)
|
100% |
11995
951.4 IPS |
|
|
Object Detection (Q)
|
85% |
6842
550.8 IPS |
|
|
Face Detection (SP)
|
100% |
20174
239.7 IPS |
|
|
Face Detection (HP)
|
100% |
25438
302.3 IPS |
|
|
Face Detection (Q)
|
97% |
14896
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45279
348.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
74566
574.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36160
289.0 IPS |
|
|
Style Transfer (SP)
|
100% |
170704
219.4 IPS |
|
|
Style Transfer (HP)
|
100% |
372643
479.0 IPS |
|
|
Style Transfer (Q)
|
98% |
157014
202.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33104
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45086
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23359
864.9 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3807
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2645
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1349
25.3 IPS |
