iPhone 13 Pro Max
Geekbench AI Score
3164
Single Precision Score
18534
Half Precision Score
21129
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
7672
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
9203
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12848
208.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15054
244.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
80087
93.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
80445
94.3 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
10342
822.7 IPS |
|
|
Object Detection (Q)
|
91% |
11388
910.0 IPS |
|
|
Face Detection (SP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
25389
301.7 IPS |
|
|
Face Detection (Q)
|
100% |
32638
387.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5173
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59453
458.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
75627
591.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17431
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
145063
186.5 IPS |
|
|
Style Transfer (Q)
|
96% |
135125
174.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28420
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28694
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2070
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
