iPhone 15
Geekbench AI Score
3335
Single Precision Score
5762
Half Precision Score
4664
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wangshuy |
| Upload Date | September 12 2024 08:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1447
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6082
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
13332
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11286
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2812
223.9 IPS |
|
|
Object Detection (Q)
|
94% |
1917
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
5720
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5534
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11243
86.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7614
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16792
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24747
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21505
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4588
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4618
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5675
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
