iPhone 16 Pro Max iPhone17,2
Geekbench AI Score
4497
Single Precision Score
33107
Half Precision Score
46042
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 12 2024 10:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
15458
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20402
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18294
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24154
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8694
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
154172
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293409
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
16399
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22891
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41884
497.7 IPS |
|
|
Face Detection (Q)
|
100% |
57106
678.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95181
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161953
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23608
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245231
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302961
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5550
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50179
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84520
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9533
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11420
197.3 IPS |
