iPhone XS Max
Geekbench AI Score
637
Single Precision Score
1076
Half Precision Score
962
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 05:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
96% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1185
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1110
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1022
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
99% |
728
57.8 IPS |
|
|
Object Detection (Q)
|
92% |
606
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
100% |
1215
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.79 IPS |
|
|
Depth Estimation (HP)
|
98% |
1614
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1398
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2168
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3707
4.76 IPS |
|
|
Style Transfer (Q)
|
96% |
3534
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
733
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
281
375.5 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.4 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.7 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (HP)
|
98% |
993
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1023
17.7 IPS |
