iPhone 15 Plus
Geekbench AI Score
3398
Single Precision Score
5915
Half Precision Score
4752
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 06:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6163
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
13571
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11448
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2819
224.4 IPS |
|
|
Object Detection (Q)
|
94% |
1999
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5999
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3354
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5842
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11871
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7921
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17141
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27328
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22548
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3584
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4576
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5660
97.8 IPS |
