iPad Pro 13-inch (M4)
Geekbench AI Score
2673
Single Precision Score
22773
Half Precision Score
31892
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 11:26 AM |
| Views | 1 |
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% |
1107
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
11308
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
16511
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13315
215.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17530
284.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
67501
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
126478
148.2 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
11988
950.9 IPS |
|
|
Object Detection (Q)
|
91% |
16380
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
26828
318.8 IPS |
|
|
Face Detection (Q)
|
100% |
38306
455.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4664
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61067
470.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
103370
808.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11945
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149132
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
195117
251.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3407
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31826
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54371
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4368
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4200
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9067
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10291
177.8 IPS |
