iPad Pro (11-inch 3rd generation) - AI - NE iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3254
Single Precision Score
15584
Half Precision Score
15183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 14 2024 12:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
6284
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5921
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9738
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9980
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66964
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65693
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7233
575.4 IPS |
|
|
Object Detection (Q)
|
91% |
6707
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16495
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15220
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5847
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47296
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47303
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17164
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120158
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112882
145.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3822
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23494
867.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23129
854.1 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3272
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3373
58.3 IPS |
