iPhone XS Max
Geekbench AI Score
618
Single Precision Score
657
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
1301
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
682
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
1668
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
425
3.32 IPS |
|
|
Style Transfer (SP)
|
100% |
4024
5.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2981
3.83 IPS |
|
|
Style Transfer (Q)
|
96% |
1524
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
258
9.54 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.7 IPS |
|
|
Text Classification (Q)
|
93% |
207
278.3 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
156
2.68 IPS |
|
|
Machine Translation (Q)
|
98% |
159
2.75 IPS |
