Dell Inc. Dell G16 7630
Geekbench AI Score
3703
Single Precision Score
3825
Half Precision Score
10638
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | oldnick |
| Upload Date | July 13 2025 03:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900HX |
| 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% |
3255
605.4 IPS |
|
|
Image Classification (HP)
|
100% |
3250
604.4 IPS |
|
|
Image Classification (Q)
|
100% |
9083
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3917
63.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3381
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10127
164.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7418
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
25380
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (Q)
|
88% |
9292
744.8 IPS |
|
|
Face Detection (SP)
|
100% |
5698
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
6332
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
20110
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6790
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5811
44.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
21267
165.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14828
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16904
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35287
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7717
285.8 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
4384
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1676
28.9 IPS |
