iPhone XS
Geekbench AI Score
645
Single Precision Score
751
Half Precision Score
414
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 05:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
100% |
247
4.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2213
2.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
718
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1718
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
2037
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3223
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3764
4.84 IPS |
|
|
Style Transfer (Q)
|
100% |
3949
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
275
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.1 IPS |
|
|
Text Classification (Q)
|
93% |
196
263.4 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (Q)
|
98% |
177
3.07 IPS |
