iPhone 13 Pro Max
Geekbench AI Score
3204
Single Precision Score
5732
Half Precision Score
4641
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 07 2025 11:42 AM |
| Views | 2 |
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% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6258
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
14328
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11893
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10393
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7306
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17094
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27842
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22671
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4266
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6381
110.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
