iPhone 15
Geekbench AI Score
3402
Single Precision Score
22411
Half Precision Score
26295
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | February 20 2025 06:42 PM |
| Views | 20 |
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% |
1423
264.7 IPS |
|
|
Image Classification (HP)
|
100% |
10012
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
11904
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14545
235.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18186
294.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
90845
106.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101470
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
100% |
12457
988.1 IPS |
|
|
Object Detection (Q)
|
91% |
14600
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
31113
369.7 IPS |
|
|
Face Detection (Q)
|
100% |
40778
484.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73599
567.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
93871
733.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16807
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
168532
216.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171905
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31032
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36366
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2682
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7450
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8285
143.2 IPS |
