iPhone 15
Geekbench AI Score
3389
Single Precision Score
23354
Half Precision Score
26414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 07:33 AM |
| Views | 3 |
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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
10048
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
12221
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14681
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18423
298.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6173
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
95736
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103340
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (HP)
|
100% |
12920
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14983
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
31706
376.7 IPS |
|
|
Face Detection (Q)
|
100% |
40280
478.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75860
584.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
94548
739.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16866
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
171093
219.9 IPS |
|
|
Style Transfer (Q)
|
96% |
178239
230.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31407
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36321
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2646
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2340
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7349
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8223
142.1 IPS |
