iPhone 15
Geekbench AI Score
3190
Single Precision Score
22554
Half Precision Score
26426
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | LWD |
| Upload Date | January 03 2026 11:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
9376
1.74 KIPS |
|
|
Image Classification (Q)
|
97% |
11831
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14874
241.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19155
310.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5331
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
96275
112.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102457
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
11961
948.7 IPS |
|
|
Object Detection (Q)
|
91% |
14112
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
31685
376.5 IPS |
|
|
Face Detection (Q)
|
100% |
39869
473.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68824
530.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89416
699.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15908
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171764
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171815
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31480
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34850
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2853
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7228
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8323
143.8 IPS |
