iPhone XS Max
Geekbench AI Score
474
Single Precision Score
2072
Half Precision Score
348
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | flipflop |
| Upload Date | September 13 2025 09:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (Q)
|
99% |
177
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
23784
27.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
797
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (Q)
|
94% |
187
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
251
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
658
5.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
18779
144.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
407
3.18 IPS |
|
|
Style Transfer (SP)
|
100% |
1653
2.12 IPS |
|
|
Style Transfer (HP)
|
100% |
1625
2.09 IPS |
|
|
Style Transfer (Q)
|
96% |
1305
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
447
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.1 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.2 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.07 IPS |
|
|
Machine Translation (Q)
|
98% |
292
5.05 IPS |
