iPhone 13 Pro Max
Geekbench AI Score
3295
Single Precision Score
18399
Half Precision Score
19794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 24 2025 11:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
7463
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
8182
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12956
210.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12707
206.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6618
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
81697
95.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
83254
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
99% |
10168
808.8 IPS |
|
|
Object Detection (Q)
|
91% |
11777
941.0 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
26612
316.2 IPS |
|
|
Face Detection (Q)
|
100% |
36053
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55064
424.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
62891
491.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17906
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149136
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
150620
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26705
986.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27442
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (Q)
|
93% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3633
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6034
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6747
116.6 IPS |
