iPhone 15
Geekbench AI Score
3185
Single Precision Score
22954
Half Precision Score
26017
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
8854
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10702
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19189
311.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5481
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
96687
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101840
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
100% |
12437
986.5 IPS |
|
|
Object Detection (Q)
|
91% |
14023
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
30823
366.2 IPS |
|
|
Face Detection (Q)
|
100% |
39342
467.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5360
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73513
566.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
92771
725.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15729
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
172758
222.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172398
222.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3500
129.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31714
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35221
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2654
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7075
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8240
142.4 IPS |
