iPhone 13 Pro Max
Geekbench AI Score
3136
Single Precision Score
5820
Half Precision Score
4671
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | January 29 2026 06:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
1681
314.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2413
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5886
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
14403
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11866
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
97% |
2704
215.3 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10622
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16675
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27351
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21959
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4431
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4325
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6553
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6560
113.4 IPS |
