iPhone 13 Pro Max
Geekbench AI Score
3207
Single Precision Score
5578
Half Precision Score
4509
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | October 09 2024 04:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6105
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
13547
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11489
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2665
212.2 IPS |
|
|
Object Detection (Q)
|
94% |
1904
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5569
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3067
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5302
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10905
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7381
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26294
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21836
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4142
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5501
95.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5538
95.7 IPS |
