Dell Inc. XPS 17 9710
Geekbench AI Score
1425
Single Precision Score
1475
Half Precision Score
935
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jlebreault |
| Upload Date | August 18 2024 02:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 17 9710 |
| Motherboard | Dell Inc. 00D5DG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (Q)
|
100% |
480
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
693
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4521
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4918
5.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3083
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
89% |
522
41.8 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2590
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2790
21.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
1854
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9464
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
6995
9.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
830
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
739
986.4 IPS |
|
|
Text Classification (HP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.2 IPS |
|
|
Machine Translation (SP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
60% |
276
6.15 IPS |
