iPhone 13 Pro Max
Geekbench AI Score
3229
Single Precision Score
18638
Half Precision Score
20306
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
6659
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
7595
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13069
211.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14971
242.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6178
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
82371
96.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81587
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
99% |
10320
820.9 IPS |
|
|
Object Detection (Q)
|
91% |
11844
946.4 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
29233
347.3 IPS |
|
|
Face Detection (Q)
|
100% |
37190
441.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55788
429.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
69435
542.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17409
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
160952
206.9 IPS |
|
|
Style Transfer (Q)
|
96% |
145162
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29800
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28187
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1427
1.90 KIPS |
|
|
Text Classification (Q)
|
93% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6127
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6917
119.5 IPS |
