iPhone 14 Pro Max
Geekbench AI Score
3534
Single Precision Score
17365
Half Precision Score
19310
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
9813
1.82 KIPS |
|
|
Image Classification (Q)
|
99% |
11163
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9807
159.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
10280
166.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6949
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
89454
104.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
96445
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1575
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
12116
961.0 IPS |
|
|
Object Detection (Q)
|
91% |
14551
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
17928
213.0 IPS |
|
|
Face Detection (Q)
|
100% |
30660
364.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61343
472.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
68798
532.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18814
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128537
165.2 IPS |
|
|
Style Transfer (Q)
|
100% |
129764
166.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4187
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32935
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36986
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2380
41.1 IPS |
