iPhone XS Max
Geekbench AI Score
323
Single Precision Score
497
Half Precision Score
452
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
343
63.9 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.4 IPS |
|
|
Image Classification (Q)
|
96% |
454
84.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
579
9.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
736
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
99% |
269
21.4 IPS |
|
|
Object Detection (Q)
|
92% |
258
20.6 IPS |
|
|
Face Detection (SP)
|
100% |
467
5.54 IPS |
|
|
Face Detection (HP)
|
100% |
726
8.63 IPS |
|
|
Face Detection (Q)
|
100% |
559
6.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
281
2.16 IPS |
|
|
Depth Estimation (HP)
|
98% |
537
4.15 IPS |
|
|
Depth Estimation (Q)
|
85% |
518
4.05 IPS |
|
|
Style Transfer (SP)
|
100% |
723
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
1235
1.59 IPS |
|
|
Style Transfer (Q)
|
96% |
1154
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
142
5.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
266
9.83 IPS |
|
|
Text Classification (SP)
|
100% |
185
246.4 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (Q)
|
93% |
306
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
98% |
377
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.54 IPS |
