iPad Pro 13-inch (M4)
Geekbench AI Score
4978
Single Precision Score
36073
Half Precision Score
51130
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 05:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
16846
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
23434
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22451
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31054
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10011
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122903
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232033
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
17746
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25648
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
42519
505.2 IPS |
|
|
Face Detection (Q)
|
100% |
62554
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98616
759.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170156
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24355
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234203
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319943
412.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50700
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82481
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16434
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17991
310.9 IPS |
