iPhone 15
Geekbench AI Score
3401
Single Precision Score
22874
Half Precision Score
26843
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cric_Hammel |
| Upload Date | February 21 2025 11:49 PM |
| Views | 2 |
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 |
| 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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
10354
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12875
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14398
233.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18416
298.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6074
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
92947
108.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103714
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
12930
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15025
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
31144
370.1 IPS |
|
|
Face Detection (Q)
|
100% |
40283
478.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74552
574.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97404
761.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17139
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
172836
222.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171742
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31896
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37338
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2611
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2448
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7508
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8535
147.5 IPS |
