MacBook Pro (14-inch, 2024)
Geekbench AI Score
5803
Single Precision Score
9443
Half Precision Score
7181
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 02:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
402.0 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3528
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17336
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34168
39.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26692
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
3886
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2762
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8647
102.7 IPS |
|
|
Face Detection (Q)
|
100% |
4820
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8843
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15207
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9690
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30808
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57421
73.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43675
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9467
349.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5670
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9582
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9488
164.0 IPS |
