iPhone XS Max
Geekbench AI Score
655
Single Precision Score
1092
Half Precision Score
974
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 05:29 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
386
71.7 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
804
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1251
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1151
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1030
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
92% |
609
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (Q)
|
100% |
1208
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
895
6.90 IPS |
|
|
Depth Estimation (HP)
|
98% |
1713
13.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1430
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2295
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3721
4.78 IPS |
|
|
Style Transfer (Q)
|
96% |
3672
4.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
742
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.0 IPS |
|
|
Text Classification (HP)
|
100% |
567
757.3 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.4 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
