iPhone 15
Geekbench AI Score
3289
Single Precision Score
22582
Half Precision Score
25832
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | WB_Mochi0 |
| Upload Date | September 06 2025 04:48 AM |
| Views | 11 |
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% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
9524
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
11383
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19170
310.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
96844
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101930
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
100% |
11964
949.0 IPS |
|
|
Object Detection (Q)
|
91% |
13990
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
31682
376.4 IPS |
|
|
Face Detection (Q)
|
100% |
40357
479.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5462
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71205
548.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
88961
695.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15332
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
168679
216.8 IPS |
|
|
Style Transfer (Q)
|
96% |
170651
220.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30730
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34851
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7078
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8082
139.7 IPS |
