iPhone 13 Pro Max
Geekbench AI Score
3290
Single Precision Score
19802
Half Precision Score
22861
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 12:14 AM |
| Views | 1 |
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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
8074
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10586
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12196
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13679
221.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6576
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
94663
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
96877
113.5 IPS |
|
|
Object Detection (SP)
|
100% |
1466
116.2 IPS |
|
|
Object Detection (HP)
|
99% |
10493
834.7 IPS |
|
|
Object Detection (Q)
|
91% |
12000
958.8 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
26409
313.8 IPS |
|
|
Face Detection (Q)
|
100% |
36804
437.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5376
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56882
438.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
82691
646.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17828
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157861
202.9 IPS |
|
|
Style Transfer (Q)
|
96% |
152146
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3893
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26063
962.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28736
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2496
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6271
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6977
120.6 IPS |
