iPad Pro 13-inch (M4)
Geekbench AI Score
4839
Single Precision Score
36806
Half Precision Score
52357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gugus_le_a |
| Upload Date | April 23 2025 02:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
17559
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26493
4.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22074
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30310
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122858
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231208
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2418
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25511
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
42803
508.6 IPS |
|
|
Face Detection (Q)
|
100% |
63257
751.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98832
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172432
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21665
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235079
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298853
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49559
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84609
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6605
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6502
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16250
279.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18227
315.0 IPS |
