iPad Pro 13-inch (M4)
Geekbench AI Score
4712
Single Precision Score
36410
Half Precision Score
51669
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 05:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
17133
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24239
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22045
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30415
493.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123220
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232700
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
18386
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26193
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42194
501.4 IPS |
|
|
Face Detection (Q)
|
100% |
62588
743.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98821
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168256
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25096
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234498
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298855
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49979
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83428
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16507
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18320
316.6 IPS |
