iPhone XS
Geekbench ML Score
785
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 09 2024 09:55 PM |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
259
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
287
53.7 IPS |
|
|
Image Classification (I8)
|
99% |
295
55.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
4.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
254
4.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
1745
2.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
2326
2.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
2312
2.80 IPS |
|
|
Object Detection (F32)
|
100% |
473
35.3 IPS |
|
|
Object Detection (F16)
|
100% |
472
35.3 IPS |
|
|
Object Detection (I8)
|
97% |
462
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (F16)
|
97% |
2268
27.0 IPS |
|
|
Face Detection (I8)
|
96% |
2260
26.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1928
14.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2706
21.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2669
20.7 IPS |
|
|
Style Transfer (F32)
|
24% |
4722
6.21 IPS |
|
|
Style Transfer (F16)
|
30% |
6601
8.68 IPS |
|
|
Style Transfer (I8)
|
30% |
6272
8.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1034
36.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1088
38.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1091
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
170
244.7 IPS |
|
|
Text Classification (F16)
|
100% |
211
303.8 IPS |
|
|
Text Classification (I8)
|
96% |
210
301.8 IPS |
|
|
Machine Translation (F32)
|
100% |
206
3.79 IPS |
|
|
Machine Translation (F16)
|
100% |
204
3.76 IPS |
|
|
Machine Translation (I8)
|
99% |
205
3.77 IPS |
