iPad Pro 13-inch (M4)
Geekbench AI Score
4710
Single Precision Score
36693
Half Precision Score
52210
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 05:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
17561
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25414
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22076
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30377
492.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123438
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232525
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
18760
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26430
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42105
500.3 IPS |
|
|
Face Detection (Q)
|
100% |
63049
749.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100260
772.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169614
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25043
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235696
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297666
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48753
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86762
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
6188
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6329
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16422
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18149
313.6 IPS |
