iPhone 15
Geekbench AI Score
3467
Single Precision Score
24539
Half Precision Score
27791
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
10566
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
13214
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16251
263.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19346
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6381
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
102618
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105089
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
100% |
13110
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14650
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32075
381.1 IPS |
|
|
Face Detection (Q)
|
100% |
40758
484.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5933
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75847
584.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96592
755.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17136
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
181330
233.1 IPS |
|
|
Style Transfer (Q)
|
96% |
184290
237.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32057
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39413
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2845
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7679
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8585
148.4 IPS |
