iPhone XS
Geekbench AI Score
643
Single Precision Score
716
Half Precision Score
282
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 29 2024 03:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1881
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1680
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
15.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
412
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
4072
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3353
4.31 IPS |
|
|
Style Transfer (Q)
|
96% |
1418
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.7 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.0 IPS |
|
|
Text Classification (Q)
|
93% |
196
263.1 IPS |
|
|
Machine Translation (SP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
98% |
155
2.67 IPS |
