iPhone XS
Geekbench AI Score
545
Single Precision Score
945
Half Precision Score
835
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 06 2024 05:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
362
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
96% |
520
97.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
975
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
750
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
99% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
92% |
531
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
1747
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1095
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
1283
9.91 IPS |
|
|
Depth Estimation (Q)
|
85% |
1162
9.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1688
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2856
3.67 IPS |
|
|
Style Transfer (Q)
|
96% |
2705
3.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
641
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.5 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.4 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.1 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
98% |
914
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
900
15.6 IPS |
