iPhone 13 Pro Max - AI - CPU iPhone 13 Pro Max
Geekbench AI Score
3290
Single Precision Score
5714
Half Precision Score
4625
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 14 2024 12:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.7 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2490
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6660
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
14402
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12224
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
1944
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5789
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5493
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11188
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7652
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17793
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27006
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22520
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3483
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5678
98.1 IPS |
