iPhone XS Max
Geekbench AI Score
628
Single Precision Score
1061
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 05:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (Q)
|
96% |
543
101.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
778
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1002
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
99% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
92% |
596
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (Q)
|
100% |
1218
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
886
6.83 IPS |
|
|
Depth Estimation (HP)
|
98% |
1677
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1451
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2110
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3640
4.68 IPS |
|
|
Style Transfer (Q)
|
96% |
3481
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
738
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.7 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.7 IPS |
|
|
Text Classification (Q)
|
93% |
551
740.1 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (HP)
|
98% |
995
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
