iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3459
Single Precision Score
20932
Half Precision Score
22800
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kister2099 |
| Upload Date | September 07 2024 02:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
14014
2.61 KIPS |
|
|
Image Classification (Q)
|
99% |
14777
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9199
149.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
9121
147.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
99044
115.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
100420
117.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
14464
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
16635
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
21537
255.9 IPS |
|
|
Face Detection (Q)
|
100% |
33863
402.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73780
568.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
81544
630.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18967
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154884
199.1 IPS |
|
|
Style Transfer (Q)
|
100% |
154695
198.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39437
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
45225
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3712
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2395
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2352
40.6 IPS |
