iPhone 15
Geekbench AI Score
3349
Single Precision Score
3532
Half Precision Score
3320
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | guylafaras |
| Upload Date | September 30 2024 02:59 PM |
| Views | 8 |
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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
97% |
990
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11890
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12384
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (Q)
|
91% |
1678
134.1 IPS |
|
|
Face Detection (SP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
4734
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
3974
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8745
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7155
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21188
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23309
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21593
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4586
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.34 IPS |
