iPhone 15
Geekbench AI Score
3464
Single Precision Score
23306
Half Precision Score
27232
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 10:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
10317
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
13136
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16264
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19422
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6319
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
99445
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103011
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
13033
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14806
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31727
377.0 IPS |
|
|
Face Detection (Q)
|
100% |
40355
479.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74749
575.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95972
750.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17039
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
171206
220.1 IPS |
|
|
Style Transfer (Q)
|
96% |
180151
232.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32285
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37392
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2622
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7698
132.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8427
145.6 IPS |
