iPhone 13 Pro Max
Geekbench AI Score
3160
Single Precision Score
5765
Half Precision Score
4701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1254
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
2414
449.0 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14634
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12245
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2751
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5673
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5221
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10513
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7440
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17420
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27345
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22380
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3689
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6544
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6617
114.3 IPS |
