iPhone XS
Geekbench AI Score
639
Single Precision Score
737
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Foxyz |
| Upload Date | February 22 2025 04:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1644
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
678
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (Q)
|
92% |
136
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
2310
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1709
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2317
17.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
421
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4112
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3817
4.91 IPS |
|
|
Style Transfer (Q)
|
96% |
1501
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.9 IPS |
|
|
Text Classification (Q)
|
93% |
200
269.0 IPS |
|
|
Machine Translation (SP)
|
100% |
174
2.99 IPS |
|
|
Machine Translation (HP)
|
100% |
154
2.66 IPS |
|
|
Machine Translation (Q)
|
98% |
159
2.74 IPS |
