iPad Pro 13-inch (M4)
Geekbench AI Score
4837
Single Precision Score
36584
Half Precision Score
52396
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 03:32 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
17692
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25328
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30165
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122746
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230963
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18195
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
27557
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43415
515.9 IPS |
|
|
Face Detection (Q)
|
100% |
63806
758.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98746
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170042
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21704
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
231189
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296837
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49046
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83516
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6163
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6592
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16451
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18088
312.6 IPS |
