iPhone 13 Pro Max
Geekbench AI Score
3260
Single Precision Score
5778
Half Precision Score
4691
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1306
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.8 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14642
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12183
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5613
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3187
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10542
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7333
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17636
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27932
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23235
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3646
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4346
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4333
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6421
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6410
110.8 IPS |
