iPhone XS Max
Geekbench AI Score
607
Single Precision Score
1011
Half Precision Score
916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
996
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
99% |
675
53.6 IPS |
|
|
Object Detection (Q)
|
92% |
554
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
866
6.67 IPS |
|
|
Depth Estimation (HP)
|
98% |
1560
12.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1343
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2046
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (Q)
|
96% |
3276
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
652
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.7 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.5 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
98% |
999
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
