iPhone 15
Geekbench AI Score
3446
Single Precision Score
23785
Half Precision Score
27520
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 10:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
10627
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
12724
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15959
258.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19450
315.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
99036
115.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104606
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
13384
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
14838
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31602
375.5 IPS |
|
|
Face Detection (Q)
|
100% |
39677
471.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75582
582.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
97882
765.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16226
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
180071
231.5 IPS |
|
|
Style Transfer (Q)
|
96% |
181023
233.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3880
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31363
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37526
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2746
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
93% |
2931
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7476
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8390
145.0 IPS |
