MacBook Pro (16-inch, 2024)
Geekbench AI Score
6032
Single Precision Score
9600
Half Precision Score
7467
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NightSmile96 |
| Upload Date | November 12 2025 10:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (HP)
|
100% |
3175
590.4 IPS |
|
|
Image Classification (Q)
|
96% |
2240
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3984
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18557
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34649
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27137
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
97% |
3959
315.2 IPS |
|
|
Object Detection (Q)
|
94% |
2790
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
8743
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
4881
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9026
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15478
119.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10860
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32145
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58293
74.9 IPS |
|
|
Style Transfer (Q)
|
96% |
44356
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7192
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9603
354.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6036
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5672
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9922
171.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9913
171.3 IPS |
