iPhone 13 Pro Max
Geekbench AI Score
3279
Single Precision Score
5694
Half Precision Score
4625
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 03 2025 01:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2484
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6424
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14099
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11951
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5747
68.3 IPS |
|
|
Face Detection (Q)
|
100% |
3259
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11184
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7620
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17718
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26895
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22496
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4624
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3489
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4245
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5713
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5741
99.2 IPS |
