iPhone 13 Pro Max
Geekbench AI Score
3163
Single Precision Score
5674
Half Precision Score
4585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Peter_ma |
| Upload Date | September 08 2025 03:26 AM |
| Views | 18 |
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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
96% |
1622
302.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2400
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14050
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11659
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2658
211.6 IPS |
|
|
Object Detection (Q)
|
94% |
1898
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5425
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3063
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5152
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10365
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7229
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16412
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27481
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22417
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4841
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4301
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4275
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6278
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6317
109.2 IPS |
