iPhone 15
Geekbench AI Score
3561
Single Precision Score
22593
Half Precision Score
25365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
9795
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
11881
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14432
234.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18171
294.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
96709
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101866
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
12973
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14834
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
30835
366.4 IPS |
|
|
Face Detection (Q)
|
100% |
39740
472.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75182
579.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
96059
751.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18924
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
172753
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172217
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4139
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32765
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36412
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
93% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7333
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8055
139.2 IPS |
