iPhone 13 Pro Max
Geekbench AI Score
3254
Single Precision Score
19898
Half Precision Score
22628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Zawacchi |
| Upload Date | February 23 2025 12:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1243
231.2 IPS |
|
|
Image Classification (HP)
|
100% |
7768
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
9863
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12732
206.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14508
235.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6449
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
94674
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93669
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
10780
857.6 IPS |
|
|
Object Detection (Q)
|
91% |
11022
880.7 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
26439
314.1 IPS |
|
|
Face Detection (Q)
|
100% |
36338
431.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5437
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53827
414.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70752
552.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17871
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161802
208.0 IPS |
|
|
Style Transfer (Q)
|
96% |
167712
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27406
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30296
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2561
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3666
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6174
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7122
123.1 IPS |
