iPhone XS
Geekbench AI Score
626
Single Precision Score
723
Half Precision Score
404
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:47 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
100% |
249
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1639
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2196
2.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
727
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
92% |
156
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1720
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1987
15.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
1931
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3069
3.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3465
4.45 IPS |
|
|
Style Transfer (Q)
|
100% |
3402
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
268
9.92 IPS |
|
|
Text Classification (SP)
|
100% |
158
211.5 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.4 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
98% |
184
3.18 IPS |
