iPad Pro 13-inch (M4)
Geekbench AI Score
4935
Single Precision Score
36773
Half Precision Score
51938
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
18429
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24736
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22317
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30729
498.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122629
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231777
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18371
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26709
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43450
516.3 IPS |
|
|
Face Detection (Q)
|
100% |
62023
737.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8485
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98788
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164352
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24501
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232800
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319908
412.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50652
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86718
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16673
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18322
316.6 IPS |
