iPhone 15
Geekbench AI Score
3038
Single Precision Score
3259
Half Precision Score
3228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | samusko14 |
| Upload Date | March 01 2025 09:22 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
659
122.6 IPS |
|
|
Image Classification (HP)
|
100% |
709
131.9 IPS |
|
|
Image Classification (Q)
|
97% |
964
179.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2439
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11905
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12367
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11518
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.6 IPS |
|
|
Object Detection (Q)
|
91% |
1147
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
4162
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8563
66.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7181
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21180
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23317
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21881
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
2601
3.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4557
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4540
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
98% |
420
7.26 IPS |
