iPhone 13 Pro Max
Geekbench AI Score
3246
Single Precision Score
5763
Half Precision Score
4695
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 01:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.7 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2456
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14586
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12250
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1436
113.9 IPS |
|
|
Object Detection (HP)
|
97% |
2733
217.6 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5614
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10525
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7418
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17439
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28075
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22848
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4792
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2471
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6740
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6617
114.3 IPS |
