MacBook Pro (16-inch, 2024)
Geekbench AI Score
5579
Single Precision Score
9223
Half Precision Score
7135
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 05:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
3070
571.0 IPS |
|
|
Image Classification (Q)
|
96% |
2174
406.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17815
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33049
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25187
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
97% |
3861
307.3 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4921
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
8242
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4770
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8839
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15167
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10691
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26702
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54433
70.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40846
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9955
367.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5823
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9319
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9314
161.0 IPS |
