MacBook Pro (14-inch, 2024)
Geekbench AI Score
23823
Single Precision Score
26085
Half Precision Score
24343
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 12:17 PM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10549
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10383
1.93 KIPS |
|
|
Image Classification (Q)
|
96% |
9615
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23384
379.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24594
398.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23312
377.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
107092
125.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
108727
126.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
106250
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
9319
739.2 IPS |
|
|
Object Detection (HP)
|
100% |
10225
811.0 IPS |
|
|
Object Detection (Q)
|
92% |
9183
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
41131
488.7 IPS |
|
|
Face Detection (HP)
|
100% |
41733
495.9 IPS |
|
|
Face Detection (Q)
|
100% |
36819
437.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45303
349.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46932
361.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
43087
336.6 IPS |
|
|
Style Transfer (SP)
|
100% |
221248
284.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233252
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220670
284.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31003
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31457
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27458
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6334
109.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6528
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6456
111.6 IPS |
