iPhone XS
Geekbench AI Score
440
Single Precision Score
1944
Half Precision Score
311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 29 2025 05:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
194
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
19461
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
597
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
94% |
166
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
5191
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
18273
140.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
350
2.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1392
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1367
1.76 IPS |
|
|
Style Transfer (Q)
|
96% |
1128
1.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3481
128.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
267
355.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.6 IPS |
|
|
Text Classification (Q)
|
93% |
287
384.8 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
98% |
280
4.85 IPS |
