iPhone XS
Geekbench AI Score
583
Single Precision Score
653
Half Precision Score
374
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 21 2024 10:24 PM |
| Views | 17 |
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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.7 IPS |
|
|
Image Classification (Q)
|
99% |
255
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (Q)
|
100% |
252
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1557
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
654
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
92% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
2015
23.9 IPS |
|
|
Face Detection (Q)
|
100% |
231
2.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1674
12.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
1631
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2613
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3240
4.17 IPS |
|
|
Style Transfer (Q)
|
100% |
3393
4.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
263
9.74 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.3 IPS |
|
|
Text Classification (HP)
|
100% |
198
264.4 IPS |
|
|
Text Classification (Q)
|
93% |
198
265.3 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
157
2.70 IPS |
|
|
Machine Translation (Q)
|
98% |
151
2.60 IPS |
