iPad Pro 13-inch (M4)
Geekbench AI Score
4810
Single Precision Score
36474
Half Precision Score
51994
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 02:51 AM |
| Views | 3 |
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 | iPad16,5 |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
17311
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24373
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22173
359.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30439
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122690
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231596
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18273
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25950
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
42565
505.8 IPS |
|
|
Face Detection (Q)
|
100% |
63187
750.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98848
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170602
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21499
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234175
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
296661
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49446
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86365
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6462
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16474
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18146
313.6 IPS |
