iPhone 15
Geekbench AI Score
3435
Single Precision Score
5977
Half Precision Score
4781
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 02 2024 01:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1729
322.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2709
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6465
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14156
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11699
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2888
229.9 IPS |
|
|
Object Detection (Q)
|
94% |
2024
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6112
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3382
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5848
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11849
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7979
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17364
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27072
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22544
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4610
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4585
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3346
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5838
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5510
95.2 IPS |
