Dell Inc. Inspiron 15 7000 Gaming
Geekbench AI Score
998
Single Precision Score
1003
Half Precision Score
551
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 16 2025 10:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7300HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Dell Inc. Inspiron 15 7000 Gaming |
| Motherboard | Dell Inc. 0MK77P |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (Q)
|
99% |
348
65.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
408
6.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
1140
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
949
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
85% |
382
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1248
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
814
9.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1220
9.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
1219
9.39 IPS |
|
|
Depth Estimation (Q)
|
63% |
764
7.16 IPS |
|
|
Style Transfer (SP)
|
100% |
1646
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1649
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2015
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
58% |
256
6.01 IPS |
