iPhone 15
Geekbench AI Score
3587
Single Precision Score
22996
Half Precision Score
26553
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 10 2025 11:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1432
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
10538
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
13037
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15041
243.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18078
293.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7090
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
97511
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104012
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
12940
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14968
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
30453
361.9 IPS |
|
|
Face Detection (Q)
|
100% |
39458
468.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6195
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
76124
586.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
98182
767.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18991
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
172035
221.2 IPS |
|
|
Style Transfer (Q)
|
96% |
174088
224.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32394
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36748
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2347
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7366
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8166
141.1 IPS |
