iPhone XS
Geekbench ML Score
611
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone XS |
| Model ID | iPhone11,2 |
| Motherboard | D321AP |
| 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
245
45.8 IPS |
|
|
Image Classification (F16)
|
100% |
491
91.9 IPS |
|
|
Image Classification (I8)
|
99% |
491
91.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
259
4.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
259
4.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
652
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
739
0.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
836
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
302
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
498
37.2 IPS |
|
|
Object Detection (I8)
|
97% |
293
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
669
7.95 IPS |
|
|
Face Detection (F16)
|
97% |
1203
14.3 IPS |
|
|
Face Detection (I8)
|
96% |
1224
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
667
5.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
1264
9.80 IPS |
|
|
Depth Estimation (I8)
|
99% |
1397
10.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1862
2.45 IPS |
|
|
Style Transfer (F16)
|
100% |
3749
4.93 IPS |
|
|
Style Transfer (I8)
|
100% |
3776
4.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
622
22.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
809
28.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
807
28.8 IPS |
|
|
Text Classification (F32)
|
100% |
258
370.8 IPS |
|
|
Text Classification (F16)
|
100% |
510
732.8 IPS |
|
|
Text Classification (I8)
|
96% |
508
730.7 IPS |
|
|
Machine Translation (F32)
|
100% |
295
5.42 IPS |
|
|
Machine Translation (F16)
|
100% |
404
7.43 IPS |
|
|
Machine Translation (I8)
|
99% |
291
5.36 IPS |
