iPhone 13 Pro Max
Geekbench AI Score
3272
Single Precision Score
5780
Half Precision Score
4700
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 09:25 AM |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1964
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14750
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12339
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2738
218.0 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5579
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10623
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7417
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17677
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28235
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23189
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4284
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6351
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6391
110.5 IPS |
