iPad Pro 13-inch (M4)
Geekbench AI Score
4982
Single Precision Score
36267
Half Precision Score
51780
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 30 2026 03:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2124
395.1 IPS |
|
|
Image Classification (HP)
|
100% |
17203
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24430
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22489
364.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31000
502.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122798
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233149
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17891
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26344
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43000
510.9 IPS |
|
|
Face Detection (Q)
|
100% |
63949
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98904
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164891
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24423
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229700
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319931
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50744
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84377
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5640
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5574
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16567
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18774
324.4 IPS |
