iPad Pro 13-inch (M4)
Geekbench AI Score
4711
Single Precision Score
36700
Half Precision Score
51576
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 10:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
17197
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23938
4.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22080
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30499
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123533
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233541
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2212
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
18984
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26281
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
43129
512.5 IPS |
|
|
Face Detection (Q)
|
100% |
64036
760.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8313
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98746
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167662
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24994
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233634
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298371
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48763
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84157
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16397
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18107
312.9 IPS |
