Dell Inc. XPS 13 9310
Geekbench AI Score
4153
Single Precision Score
5361
Half Precision Score
8021
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:38 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9310 |
| Motherboard | Dell Inc. 0GG9PT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2655
493.8 IPS |
|
|
Image Classification (HP)
|
100% |
3581
665.9 IPS |
|
|
Image Classification (Q)
|
99% |
4456
831.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3657
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5582
90.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6192
100.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7343
8.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
28955
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
3216
255.1 IPS |
|
|
Object Detection (Q)
|
90% |
4501
359.9 IPS |
|
|
Face Detection (SP)
|
100% |
7084
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
11044
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
16190
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9421
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14369
111.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
19198
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24965
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36762
47.3 IPS |
|
|
Style Transfer (Q)
|
98% |
64679
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10542
390.4 IPS |
|
|
Text Classification (SP)
|
71% |
851
1.23 KIPS |
|
|
Text Classification (HP)
|
71% |
913
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1032
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1284
22.2 IPS |
|
|
Machine Translation (Q)
|
89% |
1403
24.4 IPS |
