iPad Pro 13-inch (M4)
Geekbench AI Score
4703
Single Precision Score
36487
Half Precision Score
51037
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 10 2024 11:44 AM |
| Views | 3 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
18156
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
23576
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21994
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30365
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123572
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232689
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
18286
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25719
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
43280
514.3 IPS |
|
|
Face Detection (Q)
|
100% |
62686
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98651
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168670
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25197
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232111
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297876
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48343
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83389
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16330
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17896
309.3 IPS |
