iPhone 13 Pro Max
Geekbench AI Score
2190
Single Precision Score
10627
Half Precision Score
11691
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 06:14 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% |
1189
221.2 IPS |
|
|
Image Classification (HP)
|
100% |
4893
909.9 IPS |
|
|
Image Classification (Q)
|
96% |
4904
915.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3857
62.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6246
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5827
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
69746
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
76401
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
99% |
5545
441.1 IPS |
|
|
Object Detection (Q)
|
93% |
6312
503.7 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
10643
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
12335
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3771
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34184
263.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
39933
312.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10310
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98946
127.2 IPS |
|
|
Style Transfer (Q)
|
95% |
79862
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3060
113.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12780
471.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15009
554.2 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1533
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2163
37.4 IPS |
