iPhone 15 Plus
Geekbench AI Score
3526
Single Precision Score
23442
Half Precision Score
26659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 04:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
10351
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12956
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13769
223.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18344
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6637
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
96126
112.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102434
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
13092
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15139
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31025
368.6 IPS |
|
|
Face Detection (Q)
|
100% |
40051
475.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6043
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
76542
589.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
97934
765.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17722
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
170119
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
179554
231.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33480
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37980
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7582
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8653
149.5 IPS |
