iPhone 13 Pro Max
Geekbench AI Score
3718
Single Precision Score
4160
Half Precision Score
3686
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 12:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.1 IPS |
|
|
Image Classification (Q)
|
97% |
1503
280.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12312
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11415
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
2045
162.2 IPS |
|
|
Object Detection (Q)
|
91% |
1680
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
6121
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4007
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8991
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7338
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18872
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20281
26.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19580
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4482
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3882
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
698
12.1 IPS |
