iPhone 15
Geekbench AI Score
1785
Single Precision Score
3251
Half Precision Score
2617
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ZMALZAHRANI |
| Upload Date | April 19 2026 12:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
684
127.2 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (Q)
|
96% |
862
161.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
7699
8.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
6623
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
97% |
1502
119.6 IPS |
|
|
Object Detection (Q)
|
94% |
1074
85.6 IPS |
|
|
Face Detection (SP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1750
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6069
46.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4205
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9295
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15000
19.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12371
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2039
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2502
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3990
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3990
68.9 IPS |
