Dell Inc. XPS 15 9520
Geekbench AI Score
4963
Single Precision Score
6524
Half Precision Score
9831
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | adr1enbe4udou1n |
| Upload Date | December 24 2024 05:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Dell Inc. XPS 15 9520 |
| Motherboard | Dell Inc. 0F6K9V |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3075
571.9 IPS |
|
|
Image Classification (HP)
|
100% |
4388
816.0 IPS |
|
|
Image Classification (Q)
|
99% |
5774
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4603
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7170
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8373
135.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11135
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
8125
9.48 IPS |
|
|
Pose Estimation (Q)
|
97% |
33194
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (HP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (Q)
|
90% |
6165
492.9 IPS |
|
|
Face Detection (SP)
|
100% |
8064
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
12050
143.2 IPS |
|
|
Face Detection (Q)
|
100% |
16922
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10854
83.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
16282
125.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
20576
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28110
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37600
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
74026
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4611
170.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7092
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12913
478.2 IPS |
|
|
Text Classification (SP)
|
71% |
1278
1.85 KIPS |
|
|
Text Classification (HP)
|
71% |
1435
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1425
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1831
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1798
31.0 IPS |
