iPhone XS Max
Geekbench AI Score
627
Single Precision Score
679
Half Precision Score
283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | igniz1215 |
| Upload Date | October 08 2025 07:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1333
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
671
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (Q)
|
92% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
1957
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (Q)
|
100% |
239
2.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
1682
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1724
13.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
430
3.35 IPS |
|
|
Style Transfer (SP)
|
100% |
4027
5.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3330
4.28 IPS |
|
|
Style Transfer (Q)
|
96% |
1473
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
857
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.4 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.9 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.2 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
98% |
175
3.03 IPS |
