iPhone XS
Geekbench AI Score
588
Single Precision Score
672
Half Precision Score
382
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 16 2024 12:44 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
99% |
288
53.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
100% |
249
4.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2105
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
658
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
92% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1659
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1666
12.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1693
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2593
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (Q)
|
100% |
3401
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
264
9.79 IPS |
|
|
Text Classification (SP)
|
100% |
151
201.1 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.8 IPS |
|
|
Text Classification (Q)
|
93% |
202
271.5 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
158
2.72 IPS |
|
|
Machine Translation (Q)
|
98% |
156
2.69 IPS |
