MacBook Pro (14-inch, 2024)
Geekbench AI Score
5605
Single Precision Score
9289
Half Precision Score
7125
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 12:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3078
572.5 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3569
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18299
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32856
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25224
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4928
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
8191
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8834
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15249
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10616
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26298
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54095
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40860
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10208
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5779
213.4 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6194
106.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9105
157.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9113
157.5 IPS |
