MacBook Pro (14-inch, 2024)
Geekbench AI Score
5771
Single Precision Score
9345
Half Precision Score
7185
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 15 2026 12:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.2 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3855
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17289
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34085
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26794
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
3899
310.4 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
5062
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4796
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8820
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14886
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9710
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30578
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57116
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43613
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6894
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9297
343.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5378
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5612
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5652
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9487
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9507
164.3 IPS |
