iPhone 13 Pro Max
Geekbench AI Score
3232
Single Precision Score
5631
Half Precision Score
4573
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MiataRacer28 |
| Upload Date | November 02 2024 10:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2476
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
13881
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11764
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1936
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5630
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10936
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7477
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17295
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26625
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22157
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4224
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3387
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5609
96.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5665
97.9 IPS |
