iPad Pro 13-inch (M4)
Geekbench AI Score
4956
Single Precision Score
36335
Half Precision Score
51552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17448
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
23785
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22480
364.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30833
499.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122870
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231605
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
17741
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26826
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42209
501.5 IPS |
|
|
Face Detection (Q)
|
100% |
62224
739.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8520
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98570
759.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164283
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24471
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234707
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320875
414.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50842
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86175
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5608
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16663
287.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18357
317.2 IPS |
