iPhone 15
Geekbench AI Score
3428
Single Precision Score
22285
Half Precision Score
26150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:05 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
9866
1.83 KIPS |
|
|
Image Classification (Q)
|
97% |
11829
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13998
226.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18218
295.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
99041
115.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103184
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
100% |
13103
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14906
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
31487
374.1 IPS |
|
|
Face Detection (Q)
|
100% |
39715
471.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5791
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74177
571.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96805
756.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17184
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172858
222.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171631
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31626
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38545
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1817
2.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7267
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8232
142.3 IPS |
