iPhone 12 Pro Max
Geekbench AI Score
1773
Single Precision Score
2026
Half Precision Score
1880
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 16 2024 02:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
97% |
336
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1491
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6225
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
9193
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8221
9.64 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
91% |
555
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3750
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5384
41.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4582
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12764
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13486
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12721
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1465
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1467
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
98% |
299
5.17 IPS |
