iPhone XS
Geekbench AI Score
639
Single Precision Score
741
Half Precision Score
283
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 16 2024 01:22 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1617
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
666
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (Q)
|
100% |
259
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1692
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
421
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
4440
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5281
6.79 IPS |
|
|
Style Transfer (Q)
|
96% |
1458
1.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
792
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
292
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.1 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.2 IPS |
|
|
Text Classification (Q)
|
93% |
191
256.4 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (Q)
|
98% |
148
2.55 IPS |
