iPhone 15
Geekbench AI Score
3451
Single Precision Score
23124
Half Precision Score
26678
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | synt4x93 |
| Upload Date | March 02 2025 10:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
10429
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12822
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15136
245.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18486
299.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
94303
110.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103577
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
13013
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14682
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
31663
376.2 IPS |
|
|
Face Detection (Q)
|
100% |
40725
483.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5868
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75087
578.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
97587
763.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17504
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171140
220.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172966
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31738
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37336
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7648
131.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8270
142.9 IPS |
