MacBook Pro (16-inch, 2024)
Geekbench AI Score
5941
Single Precision Score
9139
Half Precision Score
7038
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 31 2025 09:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3971
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19290
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32228
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24397
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
3875
308.5 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8023
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9000
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14597
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10355
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36805
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51458
66.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39651
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9685
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5355
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6135
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9192
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9088
157.1 IPS |
