Dell Inc. XPS 15 9500
Geekbench ML Score
1281
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | January 05 2024 09:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Fedora Linux 39 (Workstation Edition) |
| Model | Dell Inc. XPS 15 9500 |
| Motherboard | Dell Inc. 05XYW7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 31.09 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1171
219.1 IPS |
|
|
Image Classification (F16)
|
100% |
1172
219.4 IPS |
|
|
Image Classification (I8)
|
99% |
585
109.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
648
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1731
2.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
1735
2.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
1618
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
1214
90.6 IPS |
|
|
Object Detection (F16)
|
100% |
1212
90.5 IPS |
|
|
Object Detection (I8)
|
65% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (I8)
|
87% |
1388
16.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1761
13.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1752
13.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
1456
11.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2108
2.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2108
2.77 IPS |
|
|
Style Transfer (I8)
|
98% |
3172
4.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1214
43.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1225
43.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
929
33.2 IPS |
|
|
Text Classification (F32)
|
100% |
1189
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1151
1.65 KIPS |
|
|
Text Classification (I8)
|
92% |
429
616.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1655
30.4 IPS |
|
|
Machine Translation (I8)
|
62% |
558
10.3 IPS |
