iPhone 13 Pro Max
Geekbench AI Score
3301
Single Precision Score
5805
Half Precision Score
4701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 24 2025 09:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1353
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6630
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14932
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12485
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5668
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3214
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10498
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7355
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17790
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28248
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23266
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3907
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4326
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4272
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3649
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6381
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6412
110.8 IPS |
