iPhone XS
Geekbench AI Score
650
Single Precision Score
776
Half Precision Score
285
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 20 2024 03:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
177
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
1645
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
679
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.1 IPS |
|
|
Object Detection (Q)
|
92% |
157
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
253
3.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
1690
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2141
16.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
413
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
4599
5.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5617
7.22 IPS |
|
|
Style Transfer (Q)
|
96% |
1475
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
295
10.9 IPS |
|
|
Text Classification (SP)
|
100% |
148
198.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (Q)
|
93% |
199
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
177
3.04 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.64 IPS |
|
|
Machine Translation (Q)
|
98% |
153
2.65 IPS |
