iPhone XS Max
Geekbench AI Score
431
Single Precision Score
2008
Half Precision Score
321
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
2244
417.3 IPS |
|
|
Image Classification (Q)
|
99% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
20815
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (Q)
|
94% |
176
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
5310
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
17955
138.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
359
2.80 IPS |
|
|
Style Transfer (SP)
|
100% |
1388
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1371
1.76 IPS |
|
|
Style Transfer (Q)
|
96% |
1143
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
411
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.7 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.5 IPS |
|
|
Machine Translation (SP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.14 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.13 IPS |
