Dell Inc. XPS 13 9310
Geekbench AI Score
126
Single Precision Score
125
Half Precision Score
88
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 28 2024 07:18 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. XPS 13 9310 |
| Motherboard | Dell Inc. 07P9Y7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (HP)
|
100% |
48
8.93 IPS |
|
|
Image Classification (Q)
|
99% |
32
5.92 IPS |
|
|
Image Segmentation (SP)
|
100% |
94
1.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
118
1.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
65
1.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
311
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
286
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.80 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.36 IPS |
|
|
Object Detection (Q)
|
86% |
44
3.55 IPS |
|
|
Face Detection (SP)
|
100% |
163
1.93 IPS |
|
|
Face Detection (HP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (Q)
|
97% |
161
1.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
211
1.62 IPS |
|
|
Depth Estimation (HP)
|
100% |
202
1.55 IPS |
|
|
Depth Estimation (Q)
|
74% |
151
1.22 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
465
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
548
0.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
88
3.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
104
3.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
85
3.16 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.8 IPS |
|
|
Text Classification (HP)
|
100% |
63
83.7 IPS |
|
|
Text Classification (Q)
|
92% |
22
29.7 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.29 IPS |
|
|
Machine Translation (HP)
|
100% |
79
1.35 IPS |
|
|
Machine Translation (Q)
|
58% |
43
1.01 IPS |
