iPhone XS Max
Geekbench AI Score
506
Single Precision Score
2102
Half Precision Score
363
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | winzee |
| Upload Date | August 05 2025 12:47 PM |
| Views | 9 |
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% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
24760
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
828
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (HP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
252
3.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
18728
144.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
449
3.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1800
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1784
2.29 IPS |
|
|
Style Transfer (Q)
|
96% |
1368
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3506
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.8 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.1 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (Q)
|
98% |
330
5.71 IPS |
