iPhone 15
Geekbench AI Score
2759
Single Precision Score
23213
Half Precision Score
26958
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 01:35 AM |
| Views | 1 |
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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
10183
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
12676
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15871
257.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19477
315.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5086
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
91159
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104069
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
12860
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14634
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
31687
376.5 IPS |
|
|
Face Detection (Q)
|
100% |
40040
475.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73102
563.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
95807
749.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13771
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
176296
226.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173472
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31331
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37057
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
721
962.1 IPS |
|
|
Text Classification (HP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2658
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7466
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8226
142.2 IPS |
