iPhone XS
Geekbench AI Score
427
Single Precision Score
1973
Half Precision Score
329
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | November 28 2024 09:00 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
150
2.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
774
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
18703
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
94% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
547
6.50 IPS |
|
|
Face Detection (HP)
|
100% |
5166
61.4 IPS |
|
|
Face Detection (Q)
|
100% |
212
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
18540
142.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
351
2.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1373
1.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1345
1.73 IPS |
|
|
Style Transfer (Q)
|
96% |
1621
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
493
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.3 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.2 IPS |
|
|
Text Classification (Q)
|
93% |
305
409.6 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
98% |
294
5.09 IPS |
