iPhone 13 Pro Max
Geekbench AI Score
3249
Single Precision Score
5769
Half Precision Score
4688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
96% |
1644
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2430
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14446
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12293
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1942
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5637
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3188
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10465
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7305
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17249
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28068
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22875
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3645
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4356
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4325
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6423
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6407
110.7 IPS |
