MacBook Pro (14-inch, 2024)
Geekbench AI Score
5789
Single Precision Score
36379
Half Precision Score
50574
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 6liter |
| Upload Date | August 23 2025 01:49 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.46 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
16906
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22561
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22623
366.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32067
519.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18938
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123310
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229898
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
100% |
20193
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
26137
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
44757
531.8 IPS |
|
|
Face Detection (Q)
|
100% |
64088
761.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109859
846.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177244
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
36033
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231017
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297933
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46160
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78046
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5674
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16916
291.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16955
293.0 IPS |
