iPhone 15
Geekbench AI Score
2620
Single Precision Score
22572
Half Precision Score
26754
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
10370
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12239
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13545
219.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18659
302.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4460
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
89613
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102433
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
13091
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14983
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
31096
369.5 IPS |
|
|
Face Detection (Q)
|
100% |
40236
478.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4893
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
73086
563.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
97430
761.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14198
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169108
217.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173576
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33021
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36617
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2640
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7380
127.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8152
140.9 IPS |
