iPhone 15
Geekbench AI Score
3144
Single Precision Score
3283
Half Precision Score
3154
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 10 2025 11:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
818
152.2 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.0 IPS |
|
|
Image Classification (Q)
|
97% |
976
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11821
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12381
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11495
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (Q)
|
91% |
1132
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4400
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
3677
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8250
63.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7247
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21173
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23432
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21686
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3813
140.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3074
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
2611
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4576
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4591
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.21 IPS |
|
|
Machine Translation (Q)
|
98% |
384
6.64 IPS |
