iPhone 15
Geekbench AI Score
2350
Single Precision Score
12751
Half Precision Score
14875
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
5763
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6168
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9427
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
81747
95.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
86592
101.5 IPS |
|
|
Object Detection (SP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (HP)
|
100% |
7008
555.8 IPS |
|
|
Object Detection (Q)
|
93% |
8195
653.9 IPS |
|
|
Face Detection (SP)
|
100% |
2277
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
11072
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
13172
156.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3957
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37951
292.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
51852
405.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
125514
161.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118342
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16979
627.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21541
795.4 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3311
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2231
38.6 IPS |
