iPhone 15
Geekbench AI Score
3503
Single Precision Score
23585
Half Precision Score
26671
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 06:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
10411
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12301
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16050
260.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19561
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6621
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
100741
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105412
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
13387
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
14492
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
31960
379.8 IPS |
|
|
Face Detection (Q)
|
100% |
40257
478.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6059
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75111
578.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96678
755.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17515
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181055
232.7 IPS |
|
|
Style Transfer (Q)
|
96% |
184127
237.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3931
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32021
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37145
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2163
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7631
131.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8607
148.7 IPS |
