iPhone 15
Geekbench AI Score
3090
Single Precision Score
22664
Half Precision Score
26135
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | joebot |
| Upload Date | September 29 2025 03:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
9615
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11490
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13788
223.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19225
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
94406
110.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101883
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
12392
983.0 IPS |
|
|
Object Detection (Q)
|
91% |
14273
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
31394
373.0 IPS |
|
|
Face Detection (Q)
|
100% |
40464
480.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5127
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71155
548.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
90317
706.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14753
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161887
208.1 IPS |
|
|
Style Transfer (Q)
|
96% |
173564
224.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31859
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34825
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2588
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7118
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8099
140.0 IPS |
