iPhone XS
Geekbench AI Score
642
Single Precision Score
746
Half Precision Score
423
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 19 |
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% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
99% |
264
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
4.00 IPS |
|
|
Image Segmentation (Q)
|
100% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2073
2.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
723
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
92% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
1989
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
258
3.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1784
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
2089
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3302
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3924
5.04 IPS |
|
|
Style Transfer (Q)
|
100% |
4143
5.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (HP)
|
100% |
192
255.8 IPS |
|
|
Text Classification (Q)
|
93% |
212
284.4 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
98% |
188
3.24 IPS |
