iPhone 13 Pro Max
Geekbench AI Score
3201
Single Precision Score
20038
Half Precision Score
22885
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 01:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
8038
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
10160
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12953
210.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13734
222.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6070
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
92367
107.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
96241
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
10473
833.1 IPS |
|
|
Object Detection (Q)
|
91% |
11964
956.0 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
29457
350.0 IPS |
|
|
Face Detection (Q)
|
100% |
37405
444.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5251
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56888
438.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
82321
643.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
157048
201.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153941
198.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3804
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26247
969.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28855
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7220
124.8 IPS |
