iPhone 15
Geekbench AI Score
3300
Single Precision Score
3467
Half Precision Score
3165
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 10:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1130
210.2 IPS |
|
|
Image Classification (HP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (Q)
|
97% |
968
180.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11804
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12367
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11453
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
91% |
1159
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
4495
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8518
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7326
56.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7197
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21547
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23302
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22141
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3766
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3005
111.0 IPS |
|
|
Text Classification (SP)
|
100% |
2633
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4623
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.22 IPS |
|
|
Machine Translation (Q)
|
98% |
359
6.21 IPS |
