iPhone 15
Geekbench AI Score
3472
Single Precision Score
22753
Half Precision Score
26251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | guylafaras |
| Upload Date | February 12 2025 02:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
10166
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12714
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13567
219.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18082
293.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
94434
110.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102559
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
12947
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14658
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3225
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31844
378.4 IPS |
|
|
Face Detection (Q)
|
100% |
40141
477.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5996
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74517
574.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
96297
752.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17561
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
175941
226.2 IPS |
|
|
Style Transfer (Q)
|
96% |
173859
224.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31604
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36204
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7655
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8222
142.1 IPS |
