iPhone 15
Geekbench AI Score
3252
Single Precision Score
3509
Half Precision Score
3161
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | justtea |
| Upload Date | November 20 2024 10:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.6 IPS |
|
|
Image Classification (Q)
|
97% |
961
179.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11731
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12361
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11544
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (Q)
|
91% |
1171
93.6 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7776
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8529
65.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7260
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21130
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23470
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21768
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3000
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4595
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4605
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
98% |
359
6.20 IPS |
