iPhone 13 Pro Max
Geekbench AI Score
3131
Single Precision Score
5766
Half Precision Score
4689
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 13 2026 03:32 AM |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2425
451.0 IPS |
|
|
Image Classification (Q)
|
96% |
1676
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14278
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
97% |
2746
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1965
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5190
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10666
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7444
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17011
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27093
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22478
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3692
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6698
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6612
114.3 IPS |
