MacBook Pro (14-inch, 2024)
Geekbench AI Score
5641
Single Precision Score
9286
Half Precision Score
7203
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 20 2025 07:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2125
395.2 IPS |
|
|
Image Classification (HP)
|
100% |
3105
577.5 IPS |
|
|
Image Classification (Q)
|
96% |
2216
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18570
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33404
39.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25829
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
3894
310.0 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
5010
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8225
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4761
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8896
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15685
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10895
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26103
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54939
70.6 IPS |
|
|
Style Transfer (Q)
|
96% |
41715
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10111
373.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5931
219.0 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5346
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6404
110.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8964
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8951
154.7 IPS |
