iPhone XS
Geekbench AI Score
383
Single Precision Score
1836
Half Precision Score
279
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 06 2024 06:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
99% |
142
26.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
99% |
151
2.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
18431
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
575
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (Q)
|
94% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
179
2.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
17205
132.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
317
2.48 IPS |
|
|
Style Transfer (SP)
|
100% |
1243
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
1213
1.56 IPS |
|
|
Style Transfer (Q)
|
96% |
1038
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3412
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
390
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.0 IPS |
|
|
Text Classification (Q)
|
93% |
291
391.1 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
98% |
223
3.86 IPS |
