iPhone 13 Pro Max
Geekbench AI Score
3233
Single Precision Score
5745
Half Precision Score
4645
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 03:15 PM |
| Views | 1 |
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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2414
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6410
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14497
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12030
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1936
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3136
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5319
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10481
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17193
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27853
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22896
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3620
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4263
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6225
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6286
108.6 IPS |
