iPhone 15
Geekbench AI Score
2249
Single Precision Score
12867
Half Precision Score
14786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
5649
1.05 KIPS |
|
|
Image Classification (Q)
|
97% |
6262
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5102
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9690
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
81133
94.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87256
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
7390
586.2 IPS |
|
|
Object Detection (Q)
|
93% |
8223
656.1 IPS |
|
|
Face Detection (SP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
11010
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
12893
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3737
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44042
339.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
48832
381.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10234
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
124406
159.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119361
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16624
613.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21639
799.0 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3288
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2174
37.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2146
37.1 IPS |
