iPhone XS Max
Geekbench AI Score
608
Single Precision Score
1026
Half Precision Score
921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 01:22 PM |
| Views | 2 |
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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1135
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1020
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
99% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
92% |
551
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1179
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
825
6.36 IPS |
|
|
Depth Estimation (HP)
|
98% |
1486
11.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1308
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2008
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3391
4.36 IPS |
|
|
Style Transfer (Q)
|
96% |
3317
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.6 IPS |
|
|
Text Classification (Q)
|
93% |
560
751.3 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
98% |
976
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
