iPhone 13 Pro Max
Geekbench AI Score
3955
Single Precision Score
4456
Half Precision Score
4150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tameempaknehad |
| Upload Date | April 06 2025 08:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1689
314.2 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (Q)
|
96% |
1610
300.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2738
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11233
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12256
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11857
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (Q)
|
92% |
1818
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
6067
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
4820
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9027
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8339
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18964
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23401
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22592
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4344
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4181
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
967
16.7 IPS |
