iPhone 15
Geekbench AI Score
3527
Single Precision Score
23268
Half Precision Score
26987
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
9619
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
12080
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15470
250.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19992
324.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
97525
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102329
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
12281
974.2 IPS |
|
|
Object Detection (Q)
|
89% |
14369
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33430
397.2 IPS |
|
|
Face Detection (Q)
|
100% |
46645
554.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5602
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71439
550.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90748
709.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16599
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
172471
221.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172787
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3584
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31723
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35105
1.30 KIPS |
|
|
Text Classification (SP)
|
99% |
5141
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (Q)
|
93% |
2702
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7200
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8319
143.8 IPS |
