iPhone XS Max
Geekbench AI Score
443
Single Precision Score
790
Half Precision Score
698
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
297
55.3 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.7 IPS |
|
|
Image Classification (Q)
|
96% |
526
98.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
775
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
770
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
555
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.6 IPS |
|
|
Object Detection (Q)
|
92% |
387
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
100% |
876
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
98% |
934
7.22 IPS |
|
|
Depth Estimation (Q)
|
85% |
839
6.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2037
2.62 IPS |
|
|
Style Transfer (Q)
|
96% |
2092
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
552
20.4 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.4 IPS |
|
|
Text Classification (HP)
|
100% |
534
713.1 IPS |
|
|
Text Classification (Q)
|
93% |
545
730.9 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
98% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
682
11.8 IPS |
