iPhone XS
Geekbench AI Score
460
Single Precision Score
1996
Half Precision Score
338
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 16 2024 01:30 AM |
| Views | 7 |
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% |
257
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
1987
369.4 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
189
3.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
954
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
21245
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
726
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (Q)
|
94% |
191
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
5172
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
233
2.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
18525
142.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
410
3.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1604
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1578
2.03 IPS |
|
|
Style Transfer (Q)
|
96% |
1285
1.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
450
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
264
353.0 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (Q)
|
93% |
290
389.1 IPS |
|
|
Machine Translation (SP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
98% |
275
4.76 IPS |
