iPhone XS Max
Geekbench AI Score
452
Single Precision Score
2012
Half Precision Score
324
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | igniz1215 |
| Upload Date | October 08 2025 07:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
22121
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
637
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
1409
111.7 IPS |
|
|
Object Detection (Q)
|
94% |
174
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
5291
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
222
2.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
569
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
18621
143.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
372
2.90 IPS |
|
|
Style Transfer (SP)
|
100% |
1477
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1440
1.85 IPS |
|
|
Style Transfer (Q)
|
96% |
1206
1.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3477
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.3 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.5 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.9 IPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (Q)
|
98% |
282
4.88 IPS |
