iPhone 13 Pro Max
Geekbench AI Score
3975
Single Precision Score
4490
Half Precision Score
4169
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.2 IPS |
|
|
Image Classification (Q)
|
96% |
1458
272.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2966
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2818
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11244
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12737
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12290
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (Q)
|
92% |
1796
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
4873
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
6311
75.0 IPS |
|
|
Face Detection (Q)
|
100% |
5008
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8784
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9554
73.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8365
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18635
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23385
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22810
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4667
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1048
18.1 IPS |
