Dell Inc. Dell G16 7630
Geekbench AI Score
18754
Single Precision Score
30004
Half Precision Score
14694
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:31 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% |
7749
1.44 KIPS |
|
|
Image Classification (HP)
|
99% |
12809
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
6988
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11624
188.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14478
234.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10587
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
115174
134.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
287218
335.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
100932
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
8889
705.1 IPS |
|
|
Object Detection (HP)
|
100% |
15060
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
8027
646.2 IPS |
|
|
Face Detection (SP)
|
100% |
21599
256.6 IPS |
|
|
Face Detection (HP)
|
100% |
31711
376.8 IPS |
|
|
Face Detection (Q)
|
97% |
19249
229.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43505
335.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83737
645.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35074
280.3 IPS |
|
|
Style Transfer (SP)
|
100% |
178012
228.8 IPS |
|
|
Style Transfer (HP)
|
100% |
427824
550.0 IPS |
|
|
Style Transfer (Q)
|
98% |
160213
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34478
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49983
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24365
902.2 IPS |
|
|
Text Classification (SP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3213
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3358
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1667
31.3 IPS |
