iPhone XS Max
Geekbench AI Score
447
Single Precision Score
2042
Half Precision Score
340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | July 28 2025 10:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (Q)
|
99% |
178
33.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
825
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
21696
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
758
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
584
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
5298
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
246
2.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
18741
144.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
421
3.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1599
2.06 IPS |
|
|
Style Transfer (Q)
|
96% |
1321
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3507
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
268
358.3 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.2 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.7 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.96 IPS |
