MacBook Pro (16-inch, 2024)
Geekbench AI Score
6019
Single Precision Score
9533
Half Precision Score
7277
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 10:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.4 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18403
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34639
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27214
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
97% |
3968
315.9 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8798
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
4899
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9042
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15644
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9850
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31671
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58509
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44141
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7076
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9369
346.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5457
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5715
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6748
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9762
168.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9706
167.7 IPS |
