iPhone XS Max
Geekbench ML Score
1158
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 26 2024 08:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.67 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
35.7 IPS |
|
|
Image Classification (F16)
|
100% |
1996
373.5 IPS |
|
|
Image Classification (I8)
|
99% |
1995
373.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
169
2.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
4.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
257
4.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1570
1.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
22725
27.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
22118
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
455
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
421
31.4 IPS |
|
|
Object Detection (I8)
|
97% |
440
32.9 IPS |
|
|
Face Detection (F32)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (F16)
|
98% |
2265
26.9 IPS |
|
|
Face Detection (I8)
|
97% |
2228
26.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1750
13.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
17773
137.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
17614
136.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4398
5.79 IPS |
|
|
Style Transfer (F16)
|
100% |
5326
7.01 IPS |
|
|
Style Transfer (I8)
|
100% |
5287
6.96 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
854
30.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3627
129.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3690
131.8 IPS |
|
|
Text Classification (F32)
|
100% |
161
231.2 IPS |
|
|
Text Classification (F16)
|
100% |
211
303.0 IPS |
|
|
Text Classification (I8)
|
96% |
209
300.9 IPS |
|
|
Machine Translation (F32)
|
100% |
144
2.65 IPS |
|
|
Machine Translation (F16)
|
100% |
143
2.63 IPS |
|
|
Machine Translation (I8)
|
99% |
145
2.67 IPS |
