iPhone XS Max
Geekbench AI Score
562
Single Precision Score
940
Half Precision Score
826
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 29 2025 03:10 AM |
| Views | 6 |
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% |
374
69.5 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
96% |
526
98.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
752
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1084
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
765
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (HP)
|
99% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
92% |
524
41.9 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (Q)
|
100% |
1077
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
1290
9.97 IPS |
|
|
Depth Estimation (Q)
|
85% |
1095
8.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1603
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
2799
3.60 IPS |
|
|
Style Transfer (Q)
|
96% |
2678
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.8 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.6 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (HP)
|
98% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
846
14.6 IPS |
