iPhone 13 Pro Max
Geekbench AI Score
3285
Single Precision Score
17011
Half Precision Score
18484
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | September 11 2024 01:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
9425
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
10051
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6874
111.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7676
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6657
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
85424
99.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93643
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
10815
860.3 IPS |
|
|
Object Detection (Q)
|
91% |
11160
891.8 IPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
25982
308.7 IPS |
|
|
Face Detection (Q)
|
100% |
32349
384.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53683
413.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
71266
556.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17840
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154832
199.0 IPS |
|
|
Style Transfer (Q)
|
96% |
155006
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28876
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29231
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2403
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2301
39.8 IPS |
