iPhone 15
Geekbench AI Score
3548
Single Precision Score
6116
Half Precision Score
4921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 10 2025 11:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1434
266.8 IPS |
|
|
Image Classification (HP)
|
100% |
2506
466.0 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2709
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
15042
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12752
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6202
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12124
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8262
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18769
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28819
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23519
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3670
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4555
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5921
102.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5914
102.2 IPS |
