iPhone 13 Pro Max
Geekbench AI Score
3174
Single Precision Score
5652
Half Precision Score
4528
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 01:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2371
440.9 IPS |
|
|
Image Classification (Q)
|
96% |
1642
306.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6111
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13518
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10253
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2696
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1932
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3067
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10457
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7280
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16496
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27813
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22556
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4306
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6054
104.6 IPS |
