iPhone 15
Geekbench AI Score
3104
Single Precision Score
4764
Half Precision Score
4122
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 13 2024 11:25 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1457
271.0 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (Q)
|
96% |
1473
275.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1854
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5862
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13499
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11455
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2207
175.7 IPS |
|
|
Object Detection (Q)
|
94% |
1698
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
2754
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5053
38.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8333
64.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6253
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16183
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25326
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21348
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4383
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4378
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2559
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4532
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4543
78.5 IPS |
