iPhone 13 Pro Max
Geekbench AI Score
3789
Single Precision Score
4270
Half Precision Score
3790
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Farzad |
| Upload Date | February 19 2025 11:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (Q)
|
97% |
1483
276.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12408
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11567
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
2015
159.8 IPS |
|
|
Object Detection (Q)
|
91% |
1664
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
4060
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9008
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7485
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18746
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23263
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21698
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5168
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4003
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4076
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.1 IPS |
