iPhone 13 Pro Max
Geekbench AI Score
3125
Single Precision Score
5760
Half Precision Score
4699
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 02:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5968
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
14437
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12068
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5120
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10608
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7416
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16882
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27148
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22518
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6479
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6629
114.6 IPS |
