iPhone 15
Geekbench AI Score
3403
Single Precision Score
24053
Half Precision Score
27437
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10379
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12409
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16166
262.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19351
313.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
100475
117.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101950
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
13053
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14790
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
31692
376.6 IPS |
|
|
Face Detection (Q)
|
100% |
40641
482.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75791
583.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96878
757.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16750
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
180217
231.7 IPS |
|
|
Style Transfer (Q)
|
96% |
181527
234.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31631
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39714
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2810
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7695
132.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8374
144.7 IPS |
