iPhone XS Max
Geekbench AI Score
618
Single Precision Score
1058
Half Precision Score
952
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LAAlbeladi |
| Upload Date | October 22 2025 10:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.2 IPS |
|
|
Image Classification (Q)
|
96% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
749
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
995
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
92% |
603
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
1219
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
864
6.66 IPS |
|
|
Depth Estimation (HP)
|
98% |
1614
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1368
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2102
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3610
4.64 IPS |
|
|
Style Transfer (Q)
|
96% |
3519
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
728
26.9 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.6 IPS |
|
|
Text Classification (HP)
|
100% |
567
756.4 IPS |
|
|
Text Classification (Q)
|
93% |
560
752.0 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (HP)
|
98% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
