iPhone 13 Pro Max
Geekbench AI Score
3127
Single Precision Score
5724
Half Precision Score
4688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.9 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2424
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5948
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14188
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12000
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5589
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5197
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10572
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7434
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16935
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26993
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22324
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3676
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6541
113.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6695
115.7 IPS |
