iPhone 13 Pro Max
Geekbench AI Score
3201
Single Precision Score
19730
Half Precision Score
22791
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 07:27 AM |
| Views | 3 |
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% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
10585
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12196
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13774
223.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6161
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
93869
109.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
95845
112.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
10492
834.6 IPS |
|
|
Object Detection (Q)
|
91% |
11355
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
29305
348.2 IPS |
|
|
Face Detection (Q)
|
100% |
37316
443.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55859
430.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
75884
593.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16261
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
148790
191.3 IPS |
|
|
Style Transfer (Q)
|
96% |
169176
218.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3824
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26833
990.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28383
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2493
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7033
121.5 IPS |
