iPhone 13 Pro Max
Geekbench AI Score
3291
Single Precision Score
20288
Half Precision Score
23628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | May 22 2025 08:27 AM |
| Views | 7 |
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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
8131
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
10800
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13132
212.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15565
252.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6614
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
87194
101.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
96235
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1463
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
11107
883.5 IPS |
|
|
Object Detection (Q)
|
91% |
12191
974.1 IPS |
|
|
Face Detection (SP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
29333
348.5 IPS |
|
|
Face Detection (Q)
|
100% |
37267
442.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5363
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
56502
435.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
76526
598.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17885
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
163387
210.0 IPS |
|
|
Style Transfer (Q)
|
96% |
170752
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27206
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30699
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2524
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6204
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7289
126.0 IPS |
