iPhone 15
Geekbench AI Score
2648
Single Precision Score
2868
Half Precision Score
1020
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
1189
221.2 IPS |
|
|
Image Classification (Q)
|
97% |
891
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2449
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11604
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12264
14.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
11120
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (Q)
|
92% |
1177
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
5401
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8845
68.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
53.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20443
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22972
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21044
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3528
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2927
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.8 IPS |
|
|
Text Classification (HP)
|
100% |
385
513.9 IPS |
|
|
Text Classification (Q)
|
93% |
229
307.6 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
786
13.6 IPS |
