iPhone XS Max
Geekbench AI Score
491
Single Precision Score
2099
Half Precision Score
357
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1088
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
24422
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
791
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (Q)
|
94% |
195
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (HP)
|
100% |
5247
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
662
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
18564
143.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
436
3.41 IPS |
|
|
Style Transfer (SP)
|
100% |
1702
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1683
2.16 IPS |
|
|
Style Transfer (Q)
|
96% |
1369
1.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.2 IPS |
|
|
Text Classification (HP)
|
100% |
313
417.8 IPS |
|
|
Text Classification (Q)
|
93% |
306
411.1 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.32 IPS |
