iPhone 13 Pro Max
Geekbench AI Score
3172
Single Precision Score
5659
Half Precision Score
4579
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 11:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (Q)
|
96% |
1612
301.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6068
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
13785
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11690
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
2692
214.3 IPS |
|
|
Object Detection (Q)
|
94% |
1907
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7195
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27420
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22365
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3780
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4221
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6264
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6332
109.4 IPS |
