iPhone 13 Pro Max
Geekbench AI Score
3273
Single Precision Score
5686
Half Precision Score
4616
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6548
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
14258
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12171
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5717
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3245
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11164
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7637
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17767
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26836
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22468
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3470
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4173
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5707
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5682
98.2 IPS |
