Dell Inc. XPS 15 9570
Geekbench AI Score
2810
Single Precision Score
2549
Half Precision Score
2030
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 03:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti with Max-Q Design |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 15 9570 |
| Motherboard | Dell Inc. 0D0T05 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
710
131.9 IPS |
|
|
Image Classification (HP)
|
100% |
1290
240.0 IPS |
|
|
Image Classification (Q)
|
99% |
660
123.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1812
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16177
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
9662
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
100% |
1153
91.5 IPS |
|
|
Object Detection (Q)
|
83% |
680
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
2125
25.2 IPS |
|
|
Face Detection (Q)
|
97% |
1367
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4656
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4014
31.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
3942
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17869
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11385
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15027
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2947
108.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3211
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1171
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
682
913.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2065
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
855
16.0 IPS |
