MacBook Pro (14-inch, 2024)
Geekbench AI Score
6033
Single Precision Score
9543
Half Precision Score
7319
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | squats-pelican-0r |
| Upload Date | January 12 2026 01:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
3010
559.8 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18396
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34755
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
27260
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2734
216.9 IPS |
|
|
Object Detection (HP)
|
97% |
3964
315.6 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
5349
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8862
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
4916
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9078
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15422
119.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9860
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31631
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58720
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44167
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7086
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9576
353.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5424
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6748
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9800
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9923
171.5 IPS |
