iPhone XS
Geekbench AI Score
389
Single Precision Score
1745
Half Precision Score
281
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
157
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
18353
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
596
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
94% |
149
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
196
2.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
16515
127.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
321
2.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1234
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1201
1.54 IPS |
|
|
Style Transfer (Q)
|
96% |
992
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
364
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.3 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.2 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.8 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
98% |
197
3.40 IPS |
