MacBook Pro (16-inch, 2024)
Geekbench AI Score
21058
Single Precision Score
23676
Half Precision Score
22031
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | hadleydb |
| Upload Date | December 31 2025 02:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9461
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9977
1.86 KIPS |
|
|
Image Classification (Q)
|
96% |
8861
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20019
324.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20458
331.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20066
325.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
77190
90.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87659
102.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
84457
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8617
683.5 IPS |
|
|
Object Detection (HP)
|
100% |
9393
745.0 IPS |
|
|
Object Detection (Q)
|
92% |
8695
694.0 IPS |
|
|
Face Detection (SP)
|
100% |
34474
409.6 IPS |
|
|
Face Detection (HP)
|
100% |
37942
450.8 IPS |
|
|
Face Detection (Q)
|
100% |
31475
374.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41631
320.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44012
339.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
40236
314.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183277
235.6 IPS |
|
|
Style Transfer (HP)
|
100% |
200302
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
196681
253.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25754
951.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26494
978.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22759
840.4 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6252
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6596
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6599
114.0 IPS |
