iPhone 13 Pro Max
Geekbench AI Score
3226
Single Precision Score
5693
Half Precision Score
4615
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 11:02 AM |
| Views | 5 |
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% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1954
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2422
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6281
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
13825
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11659
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1926
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5494
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3100
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10416
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7283
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17068
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27746
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22529
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3626
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4236
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6438
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6309
109.0 IPS |
