iPhone 13 Pro Max
Geekbench AI Score
1552
Single Precision Score
2597
Half Precision Score
2092
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:04 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% |
566
105.2 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
96% |
719
134.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1142
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
6271
7.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
5389
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (HP)
|
97% |
1198
95.4 IPS |
|
|
Object Detection (Q)
|
94% |
847
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (Q)
|
100% |
1493
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2355
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4755
36.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3269
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7840
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11973
15.4 IPS |
|
|
Style Transfer (Q)
|
96% |
10005
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2133
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1577
58.2 IPS |
|
|
Text Classification (SP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1843
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2835
49.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2818
48.7 IPS |
