iPhone XS
Geekbench AI Score
408
Single Precision Score
1893
Half Precision Score
301
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | November 06 2024 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
180
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
915
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
18313
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
577
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (HP)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
201
2.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
17921
138.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
327
2.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1296
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1261
1.62 IPS |
|
|
Style Transfer (Q)
|
96% |
1055
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
391
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.2 IPS |
|
|
Text Classification (HP)
|
100% |
315
419.8 IPS |
|
|
Text Classification (Q)
|
93% |
312
418.7 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
98% |
272
4.69 IPS |
