iPhone 15
Geekbench AI Score
1632
Single Precision Score
12713
Half Precision Score
13992
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
628
116.9 IPS |
|
|
Image Classification (HP)
|
100% |
6890
1.28 KIPS |
|
|
Image Classification (Q)
|
97% |
6501
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8978
145.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11928
193.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
44256
51.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45355
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (HP)
|
100% |
6895
546.9 IPS |
|
|
Object Detection (Q)
|
91% |
7792
622.6 IPS |
|
|
Face Detection (SP)
|
100% |
1713
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
16794
199.6 IPS |
|
|
Face Detection (Q)
|
100% |
21720
258.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2671
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40376
311.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
44820
350.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8368
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93483
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
90671
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18714
691.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20539
758.4 IPS |
|
|
Text Classification (SP)
|
100% |
1247
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (Q)
|
93% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3678
63.6 IPS |
