MacBook Pro (14-inch, 2024)
Geekbench AI Score
23755
Single Precision Score
26251
Half Precision Score
24724
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 11:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
10682
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
10802
2.01 KIPS |
|
|
Image Classification (Q)
|
96% |
9657
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23423
379.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24281
393.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23265
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106637
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108621
126.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
105354
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
8723
691.9 IPS |
|
|
Object Detection (HP)
|
100% |
10309
817.7 IPS |
|
|
Object Detection (Q)
|
92% |
9562
763.3 IPS |
|
|
Face Detection (SP)
|
100% |
41136
488.8 IPS |
|
|
Face Detection (HP)
|
100% |
41252
490.2 IPS |
|
|
Face Detection (Q)
|
100% |
36999
439.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44775
345.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47148
363.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
43930
343.1 IPS |
|
|
Style Transfer (SP)
|
100% |
223172
286.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235473
302.7 IPS |
|
|
Style Transfer (Q)
|
96% |
231425
298.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31276
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31496
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27643
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6490
111.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6736
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6726
116.2 IPS |
