iPhone XS
Geekbench AI Score
622
Single Precision Score
653
Half Precision Score
281
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | RebekahMyers |
| Upload Date | August 19 2025 02:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (Q)
|
96% |
133
24.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1307
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1337
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
92% |
148
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2102
25.0 IPS |
|
|
Face Detection (Q)
|
100% |
243
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1662
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
418
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
3978
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
3179
4.09 IPS |
|
|
Style Transfer (Q)
|
96% |
1505
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
819
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
273
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.7 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.1 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.4 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
98% |
165
2.86 IPS |
