iPhone XS Max
Geekbench AI Score
589
Single Precision Score
996
Half Precision Score
882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | flipflop |
| Upload Date | June 12 2025 01:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
377
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
96% |
537
100.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
840
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
92% |
527
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
100% |
1074
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
790
6.08 IPS |
|
|
Depth Estimation (HP)
|
98% |
1397
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1278
9.99 IPS |
|
|
Style Transfer (SP)
|
100% |
1870
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3241
4.17 IPS |
|
|
Style Transfer (Q)
|
96% |
3049
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
710
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.3 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.5 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
98% |
981
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
