iPhone 13 Pro Max
Geekbench AI Score
3049
Single Precision Score
18238
Half Precision Score
19918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
7464
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
7871
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11934
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14312
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5916
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
80110
93.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
81916
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
99% |
10065
800.6 IPS |
|
|
Object Detection (Q)
|
91% |
11918
952.3 IPS |
|
|
Face Detection (SP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
28637
340.3 IPS |
|
|
Face Detection (Q)
|
100% |
36850
437.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4960
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53655
413.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
62288
486.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15968
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
140138
180.1 IPS |
|
|
Style Transfer (Q)
|
96% |
152690
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29413
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26962
995.6 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (Q)
|
93% |
1434
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5847
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6595
114.0 IPS |
