iPhone XS
Geekbench AI Score
156
Single Precision Score
832
Half Precision Score
107
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (Q)
|
99% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
99% |
49
0.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
258
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
9818
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
207
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.78 IPS |
|
|
Object Detection (HP)
|
100% |
577
45.8 IPS |
|
|
Object Detection (Q)
|
94% |
73
5.82 IPS |
|
|
Face Detection (SP)
|
100% |
155
1.84 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
100% |
59
0.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
8924
68.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
104
0.81 IPS |
|
|
Style Transfer (SP)
|
100% |
484
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
466
0.60 IPS |
|
|
Style Transfer (Q)
|
96% |
359
0.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
116
4.29 IPS |
|
|
Text Classification (SP)
|
100% |
92
123.1 IPS |
|
|
Text Classification (HP)
|
100% |
82
109.5 IPS |
|
|
Text Classification (Q)
|
93% |
110
147.0 IPS |
|
|
Machine Translation (SP)
|
100% |
108
1.87 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.28 IPS |
|
|
Machine Translation (Q)
|
98% |
71
1.22 IPS |
