iPhone XS
Geekbench AI Score
636
Single Precision Score
683
Half Precision Score
282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 29 2025 07:10 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
176
2.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (Q)
|
100% |
254
3.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1684
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1639
12.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
417
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
3980
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3174
4.08 IPS |
|
|
Style Transfer (Q)
|
96% |
1515
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
266
9.82 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.3 IPS |
|
|
Text Classification (HP)
|
100% |
195
260.0 IPS |
|
|
Text Classification (Q)
|
93% |
200
268.7 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.94 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.57 IPS |
|
|
Machine Translation (Q)
|
98% |
152
2.62 IPS |
