iPad Pro 13-inch (M4)
Geekbench AI Score
4907
Single Precision Score
36701
Half Precision Score
52104
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | randymassey |
| Upload Date | October 05 2025 08:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
18024
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25101
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22336
362.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31178
505.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123478
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232857
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18420
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26988
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
43233
513.7 IPS |
|
|
Face Detection (Q)
|
100% |
63135
750.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100694
775.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172889
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24154
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234077
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
325206
419.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50925
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82467
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16550
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18211
314.7 IPS |
