iPhone XS Max
Geekbench AI Score
608
Single Precision Score
1050
Half Precision Score
937
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 07:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.5 |
| 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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
986
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
99% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
92% |
586
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (Q)
|
100% |
1181
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
855
6.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
1591
12.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1378
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2185
2.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3657
4.70 IPS |
|
|
Style Transfer (Q)
|
96% |
3506
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
724
26.7 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (HP)
|
100% |
567
757.5 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.4 IPS |
|
|
Machine Translation (SP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (HP)
|
98% |
1024
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1022
17.7 IPS |
