iPhone 13 Pro Max
Geekbench AI Score
3294
Single Precision Score
19938
Half Precision Score
22501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
8995
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10911
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13088
212.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14841
240.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
89642
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
93044
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
10718
852.6 IPS |
|
|
Object Detection (Q)
|
91% |
11988
957.9 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28124
334.2 IPS |
|
|
Face Detection (Q)
|
100% |
36391
432.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5491
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52437
404.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71345
557.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17868
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153449
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
153345
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3991
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27545
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28239
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2329
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7035
121.6 IPS |
