MacBook Pro (14-inch, 2024)
Geekbench AI Score
16963
Single Precision Score
19164
Half Precision Score
17875
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2026 09:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8194
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8445
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7715
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14472
234.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15423
250.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14619
237.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
54550
63.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
59686
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57404
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7259
575.8 IPS |
|
|
Object Detection (HP)
|
100% |
7739
613.9 IPS |
|
|
Object Detection (Q)
|
92% |
7148
570.6 IPS |
|
|
Face Detection (SP)
|
100% |
26271
312.2 IPS |
|
|
Face Detection (HP)
|
100% |
29955
355.9 IPS |
|
|
Face Detection (Q)
|
100% |
24719
293.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33069
254.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35380
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
32420
253.2 IPS |
|
|
Style Transfer (SP)
|
100% |
120412
154.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134672
173.1 IPS |
|
|
Style Transfer (Q)
|
96% |
131140
169.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20803
768.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21429
791.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18951
699.8 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6452
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6436
111.2 IPS |
