iPhone XS
Geekbench AI Score
407
Single Precision Score
1887
Half Precision Score
295
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | werewolf |
| Upload Date | August 26 2025 09:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.5 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
18616
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (Q)
|
94% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
519
6.16 IPS |
|
|
Face Detection (HP)
|
100% |
5216
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
207
2.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
17690
136.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
340
2.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1382
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1359
1.75 IPS |
|
|
Style Transfer (Q)
|
96% |
1119
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3335
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.5 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.6 IPS |
|
|
Text Classification (Q)
|
93% |
272
364.6 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
98% |
277
4.79 IPS |
