iPhone 13 Pro Max
Geekbench AI Score
3170
Single Precision Score
5651
Half Precision Score
4589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6015
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13781
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11514
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
2686
213.8 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5453
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3063
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10406
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7239
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16688
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27530
35.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22345
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4240
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4232
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6241
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6352
109.8 IPS |
