iPhone XS
Geekbench AI Score
409
Single Precision Score
1107
Half Precision Score
321
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 20 2024 04:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
168
2.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
758
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16320
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
650
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
5256
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
258
3.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
304
2.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
18467
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
480
3.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1886
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1715
2.20 IPS |
|
|
Style Transfer (Q)
|
96% |
1096
1.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2955
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
396
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.7 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.7 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.7 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
98% |
203
3.51 IPS |
