iPhone XS
Geekbench AI Score
467
Single Precision Score
2057
Half Precision Score
353
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 03 2024 11:43 AM |
| Views | 11 |
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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.2 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
181
2.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
854
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
23158
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
743
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (HP)
|
100% |
5204
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
228
2.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
18665
143.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
456
3.57 IPS |
|
|
Style Transfer (SP)
|
100% |
1653
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1626
2.09 IPS |
|
|
Style Transfer (Q)
|
96% |
1421
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3508
129.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
485
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.8 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
98% |
318
5.49 IPS |
