MacBook Pro (14-inch, 2024)
Geekbench AI Score
4821
Single Precision Score
7815
Half Precision Score
6230
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | hipsterweeds |
| Upload Date | January 15 2026 06:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3316
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3118
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19131
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16243
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2619
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
4114
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7000
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13775
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9676
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23638
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38150
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31166
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7905
136.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7785
134.5 IPS |
