iPhone XS
Geekbench AI Score
597
Single Precision Score
624
Half Precision Score
270
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 06 2024 05:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
179
2.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1269
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
678
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
100% |
548
43.5 IPS |
|
|
Object Detection (Q)
|
92% |
128
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (Q)
|
100% |
205
2.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
406
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
3985
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2607
3.35 IPS |
|
|
Style Transfer (Q)
|
96% |
1462
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
261
9.65 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.2 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (Q)
|
93% |
204
273.5 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
150
2.59 IPS |
|
|
Machine Translation (Q)
|
98% |
150
2.59 IPS |
