iPhone XS Max
Geekbench AI Score
377
Single Precision Score
663
Half Precision Score
601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LAAlbeladi |
| Upload Date | November 09 2025 02:45 PM |
| Views | 9 |
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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (Q)
|
96% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
592
9.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
554
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
99% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
92% |
344
27.4 IPS |
|
|
Face Detection (SP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (HP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (Q)
|
100% |
862
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
966
7.47 IPS |
|
|
Depth Estimation (Q)
|
85% |
853
6.67 IPS |
|
|
Style Transfer (SP)
|
100% |
1140
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1816
2.33 IPS |
|
|
Style Transfer (Q)
|
96% |
1826
2.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
378
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.2 IPS |
|
|
Text Classification (HP)
|
100% |
486
649.0 IPS |
|
|
Text Classification (Q)
|
93% |
482
646.6 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
98% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
593
10.2 IPS |
