MacBook Pro (14-inch, 2024)
Geekbench AI Score
16919
Single Precision Score
19038
Half Precision Score
18063
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | bees_and_thank_u |
| Upload Date | November 06 2025 10:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
8206
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8489
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
8142
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14841
240.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15175
246.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14628
237.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
54430
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59634
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57549
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
7056
559.7 IPS |
|
|
Object Detection (HP)
|
100% |
7506
595.4 IPS |
|
|
Object Detection (Q)
|
92% |
7155
571.1 IPS |
|
|
Face Detection (SP)
|
100% |
26223
311.6 IPS |
|
|
Face Detection (HP)
|
100% |
29736
353.3 IPS |
|
|
Face Detection (Q)
|
100% |
24807
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32940
253.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35377
272.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
32414
253.2 IPS |
|
|
Style Transfer (SP)
|
100% |
120982
155.5 IPS |
|
|
Style Transfer (HP)
|
100% |
135132
173.7 IPS |
|
|
Style Transfer (Q)
|
96% |
130930
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21000
775.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21455
792.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20430
754.4 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5663
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5888
101.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6283
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6321
109.2 IPS |
