iPhone XS Max
Geekbench AI Score
368
Single Precision Score
1743
Half Precision Score
270
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 04:31 AM |
| Views | 5 |
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% |
262
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (Q)
|
99% |
143
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
154
2.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
18560
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
558
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (Q)
|
94% |
142
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (HP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
176
2.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
14847
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
290
2.26 IPS |
|
|
Style Transfer (SP)
|
100% |
1109
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1116
1.43 IPS |
|
|
Style Transfer (Q)
|
96% |
952
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
375
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3342
123.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
358
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
391.8 IPS |
|
|
Text Classification (Q)
|
93% |
317
425.4 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
98% |
219
3.79 IPS |
