iPhone 13 Pro Max
Geekbench AI Score
3261
Single Precision Score
18278
Half Precision Score
20239
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
7519
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
8333
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11639
188.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15153
245.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6418
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
78427
91.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
82397
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
10171
809.1 IPS |
|
|
Object Detection (Q)
|
91% |
12066
964.2 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
28694
341.0 IPS |
|
|
Face Detection (Q)
|
100% |
36747
436.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5338
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51549
397.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
66500
519.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17533
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
150745
193.8 IPS |
|
|
Style Transfer (Q)
|
96% |
134615
173.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28030
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28483
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
1448
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6081
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6773
117.0 IPS |
