iPhone XS Max
Geekbench AI Score
615
Single Precision Score
680
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 03:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
96% |
130
24.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1161
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1383
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
682
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2019
24.0 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1657
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1897
14.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
430
3.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4127
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3663
4.71 IPS |
|
|
Style Transfer (Q)
|
96% |
1472
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
895
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
271.7 IPS |
|
|
Text Classification (Q)
|
93% |
204
274.1 IPS |
|
|
Machine Translation (SP)
|
100% |
174
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.81 IPS |
|
|
Machine Translation (Q)
|
98% |
163
2.82 IPS |
