iPhone 13 Pro Max
Geekbench AI Score
3260
Single Precision Score
18399
Half Precision Score
21661
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 04:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7892
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9055
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11878
192.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12937
209.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6362
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
84814
99.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93580
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
99% |
10255
815.7 IPS |
|
|
Object Detection (Q)
|
91% |
11789
942.0 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
27061
321.5 IPS |
|
|
Face Detection (Q)
|
100% |
34049
404.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5481
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52447
404.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76115
594.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17744
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150482
193.4 IPS |
|
|
Style Transfer (Q)
|
96% |
152010
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3946
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26469
977.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27987
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2389
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6683
115.5 IPS |
