iPhone XS Max
Geekbench AI Score
646
Single Precision Score
716
Half Precision Score
290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 12:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1620
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1770
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
692
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.5 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
92% |
158
12.6 IPS |
|
|
Face Detection (SP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2151
25.6 IPS |
|
|
Face Detection (Q)
|
100% |
247
2.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
1675
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
427
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
4123
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3640
4.68 IPS |
|
|
Style Transfer (Q)
|
96% |
1452
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
292
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.2 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.5 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (HP)
|
100% |
176
3.04 IPS |
|
|
Machine Translation (Q)
|
98% |
178
3.08 IPS |
