Dell Inc. G7 7588
Geekbench AI Score
1696
Single Precision Score
808
Half Precision Score
1863
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 04:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. G7 7588 |
| Motherboard | Dell Inc. 0FDMYT |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
96% |
1708
319.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (Q)
|
87% |
4811
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
86% |
891
71.6 IPS |
|
|
Face Detection (SP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.55 IPS |
|
|
Face Detection (Q)
|
96% |
2329
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2815
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
970
7.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
3003
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5954
7.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4417
5.68 IPS |
|
|
Style Transfer (Q)
|
87% |
8388
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.2 IPS |
|
|
Text Classification (Q)
|
97% |
355
476.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
60% |
1248
27.8 IPS |
