iPhone XS Max
Geekbench AI Score
473
Single Precision Score
2050
Half Precision Score
342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 12:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
2002
372.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
192
3.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
22592
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
670
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
94% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
5250
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
599
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
18546
142.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1686
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1713
2.20 IPS |
|
|
Style Transfer (Q)
|
96% |
1441
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.5 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
98% |
297
5.13 IPS |
