iPad Pro 13-inch (M4)
Geekbench AI Score
4896
Single Precision Score
35920
Half Precision Score
50804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 07:06 PM |
| Views | 3 |
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 | iPad16,6 |
| 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
17311
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24173
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22326
361.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31023
502.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122612
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230681
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
17742
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25476
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
43090
512.0 IPS |
|
|
Face Detection (Q)
|
100% |
62268
739.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8447
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98666
760.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164365
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24274
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232373
298.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320303
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50444
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85334
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5241
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5208
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16286
280.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17842
308.3 IPS |
