iPhone 15
Geekbench AI Score
3189
Single Precision Score
21382
Half Precision Score
24120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
9342
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
10917
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14690
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17168
278.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5459
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
96650
112.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103136
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
10470
830.5 IPS |
|
|
Object Detection (Q)
|
91% |
12673
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
31417
373.3 IPS |
|
|
Face Detection (Q)
|
100% |
39985
475.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5326
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
60577
466.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
80275
627.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15865
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
162818
209.3 IPS |
|
|
Style Transfer (Q)
|
96% |
167160
215.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28231
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27971
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7347
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7581
131.0 IPS |
