iPhone 13 Pro Max
Geekbench AI Score
2239
Single Precision Score
4258
Half Precision Score
3378
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 01:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (Q)
|
96% |
1630
304.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2273
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
8127
9.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
6212
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (HP)
|
97% |
2121
168.8 IPS |
|
|
Object Detection (Q)
|
94% |
1444
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
2251
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3507
27.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7511
58.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5408
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8864
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18086
23.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12768
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3046
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3116
4.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2787
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4453
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4414
76.3 IPS |
