iPhone XS
Geekbench AI Score
467
Single Precision Score
2021
Half Precision Score
341
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:55 AM |
| Views | 1 |
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% |
270
50.2 IPS |
|
|
Image Classification (HP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (Q)
|
99% |
176
32.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
23375
27.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
769
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
238
2.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
657
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
18474
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
430
3.36 IPS |
|
|
Style Transfer (SP)
|
100% |
1560
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1492
1.92 IPS |
|
|
Style Transfer (Q)
|
96% |
1197
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3466
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (Q)
|
93% |
305
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.71 IPS |
