iPhone XS
Geekbench AI Score
648
Single Precision Score
763
Half Precision Score
285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 03 2024 11:34 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
96% |
139
26.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
178
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1523
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
672
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2210
26.3 IPS |
|
|
Face Detection (Q)
|
100% |
262
3.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1694
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
415
3.24 IPS |
|
|
Style Transfer (SP)
|
100% |
4585
5.89 IPS |
|
|
Style Transfer (HP)
|
100% |
5565
7.15 IPS |
|
|
Style Transfer (Q)
|
96% |
1479
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
293
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.7 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.4 IPS |
|
|
Text Classification (Q)
|
93% |
195
262.4 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.09 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
98% |
152
2.63 IPS |
