MacBook Pro (14-inch, 2024)
Geekbench AI Score
5592
Single Precision Score
37102
Half Precision Score
50851
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | southface |
| Upload Date | June 12 2025 02:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
16938
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
21961
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23074
374.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31590
512.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18219
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122464
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230016
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
20345
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
25760
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4835
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
45432
539.8 IPS |
|
|
Face Detection (Q)
|
100% |
66057
784.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8846
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110686
852.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179707
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
26167
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233183
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295981
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46033
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77502
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6071
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6203
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16364
281.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17014
294.0 IPS |
