iPad Pro 11-inch (M4)
Geekbench AI Score
4726
Single Precision Score
36381
Half Precision Score
51342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 28 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
17313
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
23897
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22059
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30289
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10096
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124281
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233396
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18300
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25380
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43867
521.2 IPS |
|
|
Face Detection (Q)
|
100% |
64333
764.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99308
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167179
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231219
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298310
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48245
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84231
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16317
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17960
310.4 IPS |
