iPhone 13 Pro Max
Geekbench AI Score
3163
Single Precision Score
5828
Half Precision Score
4755
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
2426
451.1 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6154
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14793
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12626
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
1994
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5693
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3249
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5098
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10676
82.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7520
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17448
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27634
35.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23017
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4124
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4136
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3456
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6705
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6603
114.1 IPS |
