iPhone XS Max
Geekbench AI Score
425
Single Precision Score
1941
Half Precision Score
309
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Prosto_Rav |
| Upload Date | October 08 2024 06:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
800
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
18290
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
634
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (HP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (Q)
|
94% |
175
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (HP)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
215
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
17934
138.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
368
2.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1381
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1392
1.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1136
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.3 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.1 IPS |
|
|
Text Classification (Q)
|
93% |
294
395.2 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
98% |
247
4.26 IPS |
