iPhone XS
Geekbench AI Score
630
Single Precision Score
1065
Half Precision Score
947
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 03 2024 07:47 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
368
68.4 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
509
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1215
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1009
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
965
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (HP)
|
99% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
92% |
585
46.7 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
100% |
1214
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
1621
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1340
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2169
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3765
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
3537
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
790
29.2 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.7 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.9 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1110
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1112
19.2 IPS |
