iPhone 13 Pro Max
Geekbench AI Score
3168
Single Precision Score
5695
Half Precision Score
4661
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 12:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2414
449.0 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14117
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11761
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2703
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5440
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5181
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10406
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7306
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16379
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27357
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22858
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4174
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6316
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6613
114.3 IPS |
