iPhone XS Max
Geekbench AI Score
642
Single Precision Score
1056
Half Precision Score
939
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 12:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
96% |
545
101.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
784
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1188
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1095
1.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1022
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
677
53.7 IPS |
|
|
Object Detection (Q)
|
92% |
549
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1212
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
892
6.87 IPS |
|
|
Depth Estimation (HP)
|
98% |
1590
12.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1362
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2279
2.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3659
4.70 IPS |
|
|
Style Transfer (Q)
|
96% |
3455
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
706
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.1 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.8 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.3 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
98% |
988
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
983
17.0 IPS |
