iPhone 13 Pro Max
Geekbench AI Score
2875
Single Precision Score
4408
Half Precision Score
3662
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macXide |
| Upload Date | August 16 2024 08:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.9 IPS |
|
|
Image Classification (Q)
|
99% |
1751
326.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1108
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5637
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13290
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11095
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2064
164.3 IPS |
|
|
Object Detection (Q)
|
94% |
1575
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2476
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4577
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7685
59.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
3915
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14582
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24419
31.4 IPS |
|
|
Style Transfer (Q)
|
100% |
25152
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3414
126.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3436
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3644
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4125
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4199
72.6 IPS |
