iPhone XS
Geekbench AI Score
678
Single Precision Score
751
Half Precision Score
294
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 17 2026 09:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.5 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
134
25.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1498
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
681
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
2020
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2335
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1755
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
430
3.36 IPS |
|
|
Style Transfer (SP)
|
100% |
4255
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3801
4.89 IPS |
|
|
Style Transfer (Q)
|
96% |
1549
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
838
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
287
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.2 IPS |
|
|
Text Classification (Q)
|
93% |
211
283.0 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
98% |
186
3.21 IPS |
