iPhone 13 Pro Max
Geekbench AI Score
3879
Single Precision Score
4356
Half Precision Score
4138
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 12:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (Q)
|
96% |
1534
286.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2755
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11237
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12198
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11891
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
2028
160.9 IPS |
|
|
Object Detection (Q)
|
92% |
1868
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
6203
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
4905
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9122
70.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8449
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18698
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20471
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19613
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4922
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
