iPhone XS
Geekbench AI Score
427
Single Precision Score
1967
Half Precision Score
647
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | August 20 2024 02:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
2114
393.1 IPS |
|
|
Image Classification (Q)
|
99% |
2206
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
100% |
391
6.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1031
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
23589
27.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
617
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
94% |
162
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
5174
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
208
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
528
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
17741
136.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
17997
139.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1289
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1321
1.70 IPS |
|
|
Style Transfer (Q)
|
100% |
1332
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3513
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
388
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
254
338.6 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.8 IPS |
|
|
Text Classification (Q)
|
93% |
288
387.1 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
98% |
270
4.67 IPS |
