iPhone 13 Pro Max
Geekbench AI Score
2213
Single Precision Score
10482
Half Precision Score
11619
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
4126
767.2 IPS |
|
|
Image Classification (Q)
|
96% |
4244
792.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3967
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6570
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5947
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
69926
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75528
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
5365
426.7 IPS |
|
|
Object Detection (Q)
|
93% |
6343
506.1 IPS |
|
|
Face Detection (SP)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
10437
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
12475
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3825
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34283
264.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
40317
315.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10409
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
98078
126.1 IPS |
|
|
Style Transfer (Q)
|
95% |
82340
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3191
117.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13135
485.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14947
551.9 IPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2615
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2201
38.0 IPS |
