iPhone 13 Pro Max
Geekbench AI Score
2776
Single Precision Score
5090
Half Precision Score
3648
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:24 PM |
| Views | 2 |
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% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
2246
417.6 IPS |
|
|
Image Classification (Q)
|
96% |
1401
261.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
528
8.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2843
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
8788
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7446
8.73 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2704
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1883
150.1 IPS |
|
|
Face Detection (SP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
5661
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3105
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4810
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10973
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7314
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15134
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21550
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3895
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4180
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5656
97.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5645
97.5 IPS |
