iPhone 15
Geekbench AI Score
3287
Single Precision Score
3313
Half Precision Score
3220
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 02 2024 01:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
97% |
976
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11825
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12443
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11394
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
91% |
1204
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3943
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8740
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7057
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20959
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23011
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21813
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3029
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4394
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4383
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
98% |
457
7.89 IPS |
