iPhone XS Max
Geekbench AI Score
649
Single Precision Score
738
Half Precision Score
293
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 03:01 AM |
| Views | 1 |
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% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
140
26.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
658
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1919
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2017
15.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
4153
5.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3716
4.78 IPS |
|
|
Style Transfer (Q)
|
96% |
1505
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
296
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.0 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.7 IPS |
|
|
Text Classification (Q)
|
93% |
205
275.8 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.37 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
98% |
178
3.07 IPS |
