iPhone 13 Pro Max
Geekbench AI Score
3167
Single Precision Score
18375
Half Precision Score
20248
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 04:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
7813
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
8479
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13269
215.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14960
242.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6140
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
76231
88.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80316
94.1 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
10504
835.6 IPS |
|
|
Object Detection (Q)
|
91% |
11649
930.8 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
24610
292.4 IPS |
|
|
Face Detection (Q)
|
100% |
33054
392.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5185
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53772
414.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
64964
507.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17462
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150751
193.8 IPS |
|
|
Style Transfer (Q)
|
96% |
134886
174.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28417
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27516
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (Q)
|
93% |
1754
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6151
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.6 IPS |
