iPhone XS
Geekbench AI Score
596
Single Precision Score
608
Half Precision Score
264
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
96% |
112
20.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1020
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1258
1.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
516
41.0 IPS |
|
|
Object Detection (Q)
|
92% |
130
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1367
10.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
397
3.10 IPS |
|
|
Style Transfer (SP)
|
100% |
3900
5.01 IPS |
|
|
Style Transfer (HP)
|
100% |
2458
3.16 IPS |
|
|
Style Transfer (Q)
|
96% |
1438
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
247
9.11 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.0 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (Q)
|
93% |
199
266.8 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
98% |
154
2.66 IPS |
