iPad Pro 13-inch (M4)
Geekbench AI Score
4821
Single Precision Score
36552
Half Precision Score
52236
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vinski |
| Upload Date | February 22 2025 09:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17774
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
26154
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22066
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30416
493.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123220
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232942
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18283
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25849
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43126
512.4 IPS |
|
|
Face Detection (Q)
|
100% |
62629
744.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98818
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167880
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21627
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232294
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298803
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48533
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83936
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6722
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16491
284.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17816
307.9 IPS |
