iPhone 13 Pro Max
Geekbench AI Score
3085
Single Precision Score
19549
Half Precision Score
22605
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 06:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
7559
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
11233
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12820
207.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14396
233.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
78020
91.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89564
105.0 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
99% |
10617
844.5 IPS |
|
|
Object Detection (Q)
|
91% |
11946
954.5 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
26598
316.0 IPS |
|
|
Face Detection (Q)
|
100% |
37638
447.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5048
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54570
420.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
65049
508.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16607
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155467
199.9 IPS |
|
|
Style Transfer (Q)
|
96% |
155006
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29884
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29845
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2556
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3393
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6197
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
