iPhone 15
Geekbench AI Score
3176
Single Precision Score
3526
Half Precision Score
3270
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wangshuy |
| Upload Date | September 12 2024 07:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
1161
215.8 IPS |
|
|
Image Classification (Q)
|
97% |
869
162.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2571
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11810
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12466
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11370
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (Q)
|
91% |
1218
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
5306
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8778
67.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6792
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21432
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23511
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21649
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.2 IPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4665
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4610
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
98% |
596
10.3 IPS |
