iPhone 13 Pro Max
Geekbench AI Score
3288
Single Precision Score
20199
Half Precision Score
22997
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | June 06 2025 03:52 AM |
| Views | 4 |
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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
7947
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
10447
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12960
210.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15060
244.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
95041
110.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
96480
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
99% |
10174
809.3 IPS |
|
|
Object Detection (Q)
|
91% |
11857
947.4 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28559
339.3 IPS |
|
|
Face Detection (Q)
|
100% |
37346
443.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5314
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55835
430.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
71582
559.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17385
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
165816
213.2 IPS |
|
|
Style Transfer (Q)
|
96% |
162206
209.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4028
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26644
983.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28927
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6882
118.9 IPS |
