iPhone XS Max
Geekbench AI Score
388
Single Precision Score
1891
Half Precision Score
284
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone XS Max |
| Model ID | iPhone11,6 |
| Motherboard | D331pAP |
| 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 | 3.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (Q)
|
99% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
160
2.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
22037
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
604
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (Q)
|
94% |
160
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
493
5.86 IPS |
|
|
Face Detection (HP)
|
100% |
4874
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
191
2.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
17249
132.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
290
2.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1149
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1175
1.51 IPS |
|
|
Style Transfer (Q)
|
96% |
1033
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
396
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.0 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.3 IPS |
|
|
Text Classification (Q)
|
93% |
298
400.5 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
98% |
217
3.75 IPS |
