iPhone 15
Geekbench AI Score
3013
Single Precision Score
3095
Half Precision Score
2968
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | December 12 2024 03:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
679
126.3 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.8 IPS |
|
|
Image Classification (Q)
|
97% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11760
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12307
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11493
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1058
84.0 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
91% |
1160
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8243
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8430
65.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6983
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20796
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22894
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21396
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3570
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2994
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4631
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
366
6.31 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
98% |
353
6.09 IPS |
