iPhone XS Max
Geekbench AI Score
484
Single Precision Score
2059
Half Precision Score
351
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 10:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.4 |
| 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% |
271
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
23509
27.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
793
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (Q)
|
94% |
189
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
5300
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
251
2.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18627
143.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
1681
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1641
2.11 IPS |
|
|
Style Transfer (Q)
|
96% |
1340
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.4 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.8 IPS |
|
|
Text Classification (Q)
|
93% |
298
400.2 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.14 IPS |
