iPhone 13 Pro Max
Geekbench AI Score
3226
Single Precision Score
19365
Half Precision Score
22100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 02:19 AM |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
8013
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
8559
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13285
215.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15551
252.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6207
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
92592
108.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96362
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
10502
835.4 IPS |
|
|
Object Detection (Q)
|
91% |
11929
953.2 IPS |
|
|
Face Detection (SP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
29131
346.1 IPS |
|
|
Face Detection (Q)
|
100% |
36990
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55272
425.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
71697
560.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
150070
192.9 IPS |
|
|
Style Transfer (Q)
|
96% |
151379
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28469
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28601
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2297
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6889
119.0 IPS |
