iPhone XS Max
Geekbench AI Score
573
Single Precision Score
1033
Half Precision Score
934
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 02:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
96% |
538
100.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1019
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
997
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
99% |
686
54.5 IPS |
|
|
Object Detection (Q)
|
92% |
575
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1205
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
830
6.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1577
12.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
1384
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2065
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
3520
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
3327
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
705
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.2 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.7 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
98% |
976
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
