S iPhone 15 iPhone 15
Geekbench AI Score
3488
Single Precision Score
22616
Half Precision Score
25767
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:18 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1401
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
9959
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
12427
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14700
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18352
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
95628
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
101951
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12787
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14749
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31026
368.7 IPS |
|
|
Face Detection (Q)
|
100% |
40383
479.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6084
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75334
580.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97418
761.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18001
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
171680
220.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172980
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32497
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36695
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7303
125.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8191
141.5 IPS |
