iPhone 13 Pro Max
Geekbench AI Score
3927
Single Precision Score
4483
Half Precision Score
4118
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (Q)
|
96% |
1341
250.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2845
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12833
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12433
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (HP)
|
100% |
1995
158.2 IPS |
|
|
Object Detection (Q)
|
92% |
1804
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
4892
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
5010
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8705
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9533
73.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8348
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18584
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23476
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22850
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4183
154.5 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
