Dell Inc. Dell G16 7630
Geekbench AI Score
2750
Single Precision Score
4168
Half Precision Score
6487
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | RunBoris |
| Upload Date | July 03 2025 06:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0T0TCH |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
2807
522.1 IPS |
|
|
Image Classification (Q)
|
99% |
4190
781.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4482
5.23 IPS |
|
|
Pose Estimation (HP)
|
99% |
3261
3.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
13400
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
98% |
2531
201.4 IPS |
|
|
Object Detection (Q)
|
90% |
4610
368.6 IPS |
|
|
Face Detection (SP)
|
100% |
5287
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
8318
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
11049
131.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5193
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8858
68.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12193
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11609
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18233
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30881
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3424
126.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6985
258.7 IPS |
|
|
Text Classification (SP)
|
71% |
1191
1.72 KIPS |
|
|
Text Classification (HP)
|
71% |
1415
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2584
44.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2563
44.1 IPS |
