iPad Pro 13-inch (M4)
Geekbench AI Score
4937
Single Precision Score
36805
Half Precision Score
52186
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 11:13 AM |
| Views | 2 |
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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
17341
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24473
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22465
364.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31052
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122751
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232400
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
17955
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26234
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43093
512.0 IPS |
|
|
Face Detection (Q)
|
100% |
62653
744.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99338
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169647
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24240
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234587
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
320299
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52065
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85139
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6034
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17112
294.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18491
319.6 IPS |
