iPhone 15
Geekbench AI Score
1629
Single Precision Score
13634
Half Precision Score
15138
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 01:29 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% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
6532
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
6765
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10050
162.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12783
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
45222
52.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
45192
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
6745
535.0 IPS |
|
|
Object Detection (Q)
|
91% |
7736
618.2 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
17127
203.5 IPS |
|
|
Face Detection (Q)
|
100% |
21865
259.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2720
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36755
283.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43293
338.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8146
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94442
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
93350
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17404
642.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20329
750.7 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5180
89.5 IPS |
