iPhone 13 Pro Max
Geekbench AI Score
3294
Single Precision Score
5724
Half Precision Score
4640
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.0 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2002
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2491
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14435
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12237
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2744
218.4 IPS |
|
|
Object Detection (Q)
|
94% |
1938
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
2707
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5732
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3258
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5554
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11210
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17754
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27392
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22632
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3516
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5830
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5791
100.1 IPS |
