iPhone XS Max
Geekbench AI Score
495
Single Precision Score
2081
Half Precision Score
361
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | October 08 2024 12:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
202
3.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
24508
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
811
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (HP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18528
142.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
436
3.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1682
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1712
2.20 IPS |
|
|
Style Transfer (Q)
|
96% |
1419
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3545
130.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
490
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.7 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.1 IPS |
|
|
Text Classification (Q)
|
93% |
307
412.1 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (Q)
|
98% |
329
5.69 IPS |
