iPad Pro 13-inch (M4)
Geekbench AI Score
4713
Single Precision Score
36944
Half Precision Score
51137
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | m-t-p |
| Upload Date | February 16 2025 03:06 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
17899
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
23800
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22026
357.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30426
493.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123441
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232382
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18194
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25757
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42208
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
62635
744.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98908
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168422
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25201
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234737
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298202
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48295
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84507
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6831
9.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16550
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18209
314.7 IPS |
