iPhone XS
Geekbench AI Score
469
Single Precision Score
2071
Half Precision Score
343
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | pureintentions82 |
| Upload Date | July 30 2025 06:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
187
3.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
25449
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
841
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (HP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
250
2.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
663
5.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
18875
145.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
423
3.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1616
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1497
1.92 IPS |
|
|
Style Transfer (Q)
|
96% |
1130
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
417
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.9 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.7 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.99 IPS |
|
|
Machine Translation (Q)
|
98% |
289
4.99 IPS |
