iPhone 13 Pro Max
Geekbench AI Score
3230
Single Precision Score
18986
Half Precision Score
21708
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:28 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% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
8317
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12969
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13463
218.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6263
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
93007
108.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
96313
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1440
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
10260
816.1 IPS |
|
|
Object Detection (Q)
|
91% |
11907
951.4 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28754
341.7 IPS |
|
|
Face Detection (Q)
|
100% |
37025
439.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5264
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56517
435.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
78644
614.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17476
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
149273
191.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153646
198.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26524
979.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29584
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (Q)
|
93% |
1984
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6894
119.1 IPS |
