MacBook Pro (16-inch, 2024)
Geekbench AI Score
24003
Single Precision Score
27039
Half Precision Score
25025
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 12:21 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10057
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10169
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9504
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23439
380.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24494
397.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23010
373.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
101850
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
112109
130.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106699
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
9045
717.5 IPS |
|
|
Object Detection (HP)
|
100% |
10106
801.6 IPS |
|
|
Object Detection (Q)
|
91% |
8869
708.8 IPS |
|
|
Face Detection (SP)
|
100% |
41149
488.9 IPS |
|
|
Face Detection (HP)
|
100% |
45688
542.9 IPS |
|
|
Face Detection (Q)
|
100% |
40876
485.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44708
344.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47594
366.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
44214
346.0 IPS |
|
|
Style Transfer (SP)
|
100% |
215925
277.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233915
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
224734
290.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29460
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30896
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26377
974.0 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5769
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7651
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8142
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7532
130.2 IPS |
