iPhone 13 Pro Max
Geekbench AI Score
3283
Single Precision Score
20624
Half Precision Score
23627
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 02:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
9346
1.74 KIPS |
|
|
Image Classification (Q)
|
96% |
10538
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12246
198.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15680
254.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
93637
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94210
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
11239
894.0 IPS |
|
|
Object Detection (Q)
|
91% |
12262
979.8 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28309
336.4 IPS |
|
|
Face Detection (Q)
|
100% |
36626
435.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5396
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57943
446.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
75472
589.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17806
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
165399
212.6 IPS |
|
|
Style Transfer (Q)
|
96% |
170751
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27162
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32305
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2614
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6240
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7128
123.2 IPS |
