iPad Pro 13-inch (M4)
Geekbench AI Score
4724
Single Precision Score
36356
Half Precision Score
51310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 25 2025 08:51 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
17479
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24431
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22085
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30305
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123521
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231788
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18206
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25477
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
42351
503.2 IPS |
|
|
Face Detection (Q)
|
100% |
62601
743.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98718
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166793
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25069
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232609
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297963
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48346
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84945
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6058
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6167
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16317
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17753
306.8 IPS |
