iPhone XS
Geekbench ML Score
625
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:24 PM |
| Views | 2 |
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% |
291
54.5 IPS |
|
|
Image Classification (F16)
|
100% |
496
92.9 IPS |
|
|
Image Classification (I8)
|
99% |
510
95.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
214
3.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
250
4.18 IPS |
|
|
Image Segmentation (I8)
|
100% |
260
4.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
676
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
876
1.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
809
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
295
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
514
38.3 IPS |
|
|
Object Detection (I8)
|
97% |
300
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
677
8.05 IPS |
|
|
Face Detection (F16)
|
97% |
1297
15.4 IPS |
|
|
Face Detection (I8)
|
96% |
1292
15.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
666
5.17 IPS |
|
|
Depth Estimation (F16)
|
100% |
1377
10.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
1381
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1650
2.17 IPS |
|
|
Style Transfer (F16)
|
100% |
3731
4.91 IPS |
|
|
Style Transfer (I8)
|
100% |
3762
4.95 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
625
22.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
812
29.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
817
29.2 IPS |
|
|
Text Classification (F32)
|
100% |
262
376.1 IPS |
|
|
Text Classification (F16)
|
100% |
515
739.7 IPS |
|
|
Text Classification (I8)
|
96% |
519
746.4 IPS |
|
|
Machine Translation (F32)
|
100% |
284
5.23 IPS |
|
|
Machine Translation (F16)
|
100% |
423
7.79 IPS |
|
|
Machine Translation (I8)
|
99% |
303
5.58 IPS |
