iPhone 13 Pro Max
Geekbench AI Score
3271
Single Precision Score
19838
Half Precision Score
22378
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
8309
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
9176
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12156
197.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15650
253.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
93669
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93494
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
10414
828.4 IPS |
|
|
Object Detection (Q)
|
91% |
11962
955.8 IPS |
|
|
Face Detection (SP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
29160
346.5 IPS |
|
|
Face Detection (Q)
|
100% |
37050
440.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5375
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55916
430.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
73717
576.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17778
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
150825
193.9 IPS |
|
|
Style Transfer (Q)
|
96% |
152869
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26682
985.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28743
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2250
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7264
125.5 IPS |
