iPhone XS Max
Geekbench AI Score
487
Single Precision Score
2110
Half Precision Score
361
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | November 09 2024 02:32 PM |
| Views | 6 |
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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.2 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
197
3.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
23709
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
823
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
1445
114.7 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.4 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
5229
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
19342
149.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1543
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1756
2.26 IPS |
|
|
Style Transfer (Q)
|
96% |
1460
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3522
130.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.6 IPS |
|
|
Text Classification (Q)
|
93% |
302
405.1 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
98% |
319
5.51 IPS |
