iPhone XS Max
Geekbench AI Score
588
Single Precision Score
1019
Half Precision Score
887
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
373
69.3 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.5 IPS |
|
|
Image Classification (Q)
|
96% |
547
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1179
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
904
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
99% |
689
54.6 IPS |
|
|
Object Detection (Q)
|
92% |
555
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1128
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
5.99 IPS |
|
|
Depth Estimation (HP)
|
98% |
1435
11.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1205
9.42 IPS |
|
|
Style Transfer (SP)
|
100% |
1836
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3191
4.10 IPS |
|
|
Style Transfer (Q)
|
96% |
2907
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
672
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.2 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.0 IPS |
|
|
Text Classification (Q)
|
93% |
561
752.7 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
98% |
953
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
