iPad Pro 13-inch (M4)
Geekbench AI Score
4861
Single Precision Score
35404
Half Precision Score
49862
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
100% |
16400
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22514
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22299
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30623
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122778
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231356
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2425
192.3 IPS |
|
|
Object Detection (HP)
|
100% |
18250
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25367
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
41951
498.5 IPS |
|
|
Face Detection (Q)
|
100% |
61967
736.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8469
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97802
753.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163248
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232975
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320530
413.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49174
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82294
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5034
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15927
274.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17479
302.1 IPS |
