iPhone XS Max
Geekbench AI Score
647
Single Precision Score
1097
Half Precision Score
976
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 05:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (Q)
|
96% |
556
103.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1209
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1050
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
698
55.3 IPS |
|
|
Object Detection (Q)
|
92% |
575
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1235
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
953
7.34 IPS |
|
|
Depth Estimation (HP)
|
98% |
1639
12.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1427
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2329
2.99 IPS |
|
|
Style Transfer (HP)
|
100% |
4008
5.15 IPS |
|
|
Style Transfer (Q)
|
96% |
3794
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
690
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
757
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.3 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.1 IPS |
|
|
Machine Translation (SP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1070
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
