iPhone XS
Geekbench ML Score
431
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 03 2024 02:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
271
50.6 IPS |
|
|
Image Classification (F16)
|
100% |
244
45.7 IPS |
|
|
Image Classification (I8)
|
99% |
241
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
236
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
233
3.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
233
3.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
788
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
658
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
655
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
291
21.7 IPS |
|
|
Object Detection (F16)
|
100% |
274
20.5 IPS |
|
|
Object Detection (I8)
|
97% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
527
6.27 IPS |
|
|
Face Detection (F16)
|
100% |
512
6.09 IPS |
|
|
Face Detection (I8)
|
99% |
512
6.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
584
4.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
506
3.92 IPS |
|
|
Depth Estimation (I8)
|
99% |
489
3.79 IPS |
|
|
Style Transfer (F32)
|
100% |
1358
1.79 IPS |
|
|
Style Transfer (F16)
|
100% |
1326
1.74 IPS |
|
|
Style Transfer (I8)
|
100% |
1367
1.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
604
21.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
602
21.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
602
21.5 IPS |
|
|
Text Classification (F32)
|
100% |
263
378.5 IPS |
|
|
Text Classification (F16)
|
100% |
306
439.5 IPS |
|
|
Text Classification (I8)
|
96% |
304
436.4 IPS |
|
|
Machine Translation (F32)
|
100% |
336
6.18 IPS |
|
|
Machine Translation (F16)
|
100% |
255
4.69 IPS |
|
|
Machine Translation (I8)
|
99% |
297
5.46 IPS |
