MacBook Pro (14-inch, 2024)
Geekbench AI Score
5493
Single Precision Score
9207
Half Precision Score
7129
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | September 02 2025 06:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2112
392.7 IPS |
|
|
Image Classification (HP)
|
100% |
3072
571.3 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17605
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32876
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24999
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8090
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4707
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15320
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10656
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26078
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51494
66.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40616
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10237
378.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5806
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5421
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5766
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9093
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8953
154.7 IPS |
