iPhone 13 Pro Max
Geekbench AI Score
3278
Single Precision Score
5710
Half Precision Score
4621
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:44 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% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2464
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14281
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12015
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2765
220.1 IPS |
|
|
Object Detection (Q)
|
94% |
1964
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3243
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11192
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7634
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17760
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26893
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22572
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3908
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4634
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3479
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4186
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4154
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5763
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
