iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
15265
Half Precision Score
14361
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 11:58 AM |
| Views | 3 |
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% |
1399
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6273
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5868
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9962
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66618
77.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65650
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7217
574.1 IPS |
|
|
Object Detection (Q)
|
91% |
6684
534.1 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16741
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
15136
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47298
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47536
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17157
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119847
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112058
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21248
784.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13293
490.8 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
