S iPhone 15 iPhone 15
Geekbench AI Score
3223
Single Precision Score
3598
Half Precision Score
3340
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:16 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
97% |
962
179.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11808
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12375
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11507
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (Q)
|
91% |
1631
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8726
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7305
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23335
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21822
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3065
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4550
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
98% |
419
7.24 IPS |
