iPhone XS
Geekbench AI Score
560
Single Precision Score
925
Half Precision Score
828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
96% |
507
94.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
668
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1014
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
849
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
99% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
92% |
547
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
100% |
1111
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
714
5.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
1203
9.30 IPS |
|
|
Depth Estimation (Q)
|
85% |
1024
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1684
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2556
3.29 IPS |
|
|
Style Transfer (Q)
|
96% |
2609
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
620
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.9 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.8 IPS |
|
|
Text Classification (Q)
|
93% |
564
757.0 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
98% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
