iPhone 13 Pro Max
Geekbench AI Score
3244
Single Precision Score
5731
Half Precision Score
4680
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:50 AM |
| Views | 4 |
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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6452
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
14347
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12416
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2727
217.1 IPS |
|
|
Object Detection (Q)
|
94% |
1931
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5273
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10507
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7286
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27605
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23106
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3639
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4281
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6359
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
