iPhone 15
Geekbench AI Score
3395
Single Precision Score
22610
Half Precision Score
26458
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhonedo |
| Upload Date | March 03 2025 04:30 AM |
| Views | 5 |
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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
10277
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12584
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14152
229.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18169
294.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6296
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
95203
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102903
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
100% |
13149
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15148
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
31308
372.0 IPS |
|
|
Face Detection (Q)
|
100% |
40797
484.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5585
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74163
571.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95485
746.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15990
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
167452
215.3 IPS |
|
|
Style Transfer (Q)
|
96% |
178156
229.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31748
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37941
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2145
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7503
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8354
144.4 IPS |
