iPhone XS
Geekbench AI Score
650
Single Precision Score
767
Half Precision Score
289
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 11:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.6 |
| 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1645
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
1702
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
4603
5.92 IPS |
|
|
Style Transfer (HP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (Q)
|
96% |
1443
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
294
10.8 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.4 IPS |
|
|
Text Classification (HP)
|
100% |
200
267.3 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.0 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.77 IPS |
|
|
Machine Translation (Q)
|
98% |
168
2.91 IPS |
