iPhone 15
Geekbench AI Score
3344
Single Precision Score
5847
Half Precision Score
4693
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | February 22 2025 05:39 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13307
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11233
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1462
115.9 IPS |
|
|
Object Detection (HP)
|
97% |
2850
226.9 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5908
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3234
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5549
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11424
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7649
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16772
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26183
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21799
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3672
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3487
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4653
6.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4579
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5642
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
