Dell Inc. Inspiron 16 Plus 7640
Geekbench AI Score
5106
Single Precision Score
7473
Half Precision Score
10347
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 16 Plus 7640 |
| Motherboard | Dell Inc. 0T9F8N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (HP)
|
100% |
4333
805.7 IPS |
|
|
Image Classification (Q)
|
100% |
5186
964.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8266
134.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9830
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12867
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
11736
13.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
33969
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
2846
225.8 IPS |
|
|
Object Detection (HP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (Q)
|
88% |
6398
512.7 IPS |
|
|
Face Detection (SP)
|
100% |
8250
98.0 IPS |
|
|
Face Detection (HP)
|
100% |
15395
182.9 IPS |
|
|
Face Detection (Q)
|
100% |
22162
263.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12404
95.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
19843
153.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
18951
147.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27959
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35464
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80449
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7950
293.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11744
434.9 IPS |
|
|
Text Classification (SP)
|
71% |
1237
1.79 KIPS |
|
|
Text Classification (HP)
|
71% |
1617
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1577
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2008
34.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2029
34.9 IPS |
