iPhone 13 Pro Max
Geekbench AI Score
3287
Single Precision Score
5717
Half Precision Score
4625
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 28 2025 04:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2476
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6575
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14336
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12182
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
97% |
2767
220.2 IPS |
|
|
Object Detection (Q)
|
94% |
1951
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11184
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17862
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27120
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22513
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3468
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4210
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5885
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5866
101.4 IPS |
