iPhone XS
Geekbench AI Score
470
Single Precision Score
2033
Half Precision Score
339
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
195
3.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
23976
28.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
777
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
94% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
586
6.96 IPS |
|
|
Face Detection (HP)
|
100% |
5170
61.4 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
18102
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
397
3.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1596
2.05 IPS |
|
|
Style Transfer (Q)
|
96% |
1317
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3529
130.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.4 IPS |
|
|
Text Classification (Q)
|
93% |
291
391.1 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
98% |
283
4.89 IPS |
