iPhone XS Max
Geekbench AI Score
470
Single Precision Score
2056
Half Precision Score
341
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:37 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
196
3.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
23940
27.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
790
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
5278
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
226
2.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
18611
143.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
390
3.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1612
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1658
2.13 IPS |
|
|
Style Transfer (Q)
|
96% |
1311
1.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3492
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.6 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.1 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
98% |
295
5.10 IPS |
