iPhone 13 Pro Max
Geekbench AI Score
3903
Single Precision Score
4279
Half Precision Score
4024
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 24 2025 11:54 AM |
| Views | 5 |
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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (Q)
|
96% |
1221
228.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2804
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11223
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12693
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12283
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (Q)
|
92% |
1747
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
4898
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
6334
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
4920
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9194
70.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8345
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18623
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23185
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22539
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4268
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
972
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1001
17.3 IPS |
