iPhone XS Max
Geekbench AI Score
555
Single Precision Score
980
Half Precision Score
857
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:55 PM |
| 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% |
357
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.6 IPS |
|
|
Image Classification (Q)
|
96% |
518
96.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
867
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
843
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
99% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
92% |
527
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
828
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1104
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
732
5.64 IPS |
|
|
Depth Estimation (HP)
|
98% |
1389
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1258
9.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1833
2.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3222
4.14 IPS |
|
|
Style Transfer (Q)
|
96% |
2924
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
281
374.8 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.5 IPS |
|
|
Text Classification (Q)
|
93% |
556
746.8 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
98% |
919
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
902
15.6 IPS |
