iPhone XS Max
Geekbench AI Score
612
Single Precision Score
1025
Half Precision Score
943
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
378
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (Q)
|
96% |
539
100.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
935
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
92% |
593
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1204
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
813
6.26 IPS |
|
|
Depth Estimation (HP)
|
98% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1360
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3557
4.57 IPS |
|
|
Style Transfer (Q)
|
96% |
3322
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
778
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.7 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.0 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.4 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
98% |
953
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
