MacBook Pro (14-inch, 2024)
Geekbench AI Score
24007
Single Precision Score
26291
Half Precision Score
24679
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 07:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10305
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10703
1.99 KIPS |
|
|
Image Classification (Q)
|
96% |
9821
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23537
381.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24300
393.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22950
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
108047
126.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109448
127.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106271
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
9520
755.2 IPS |
|
|
Object Detection (HP)
|
100% |
10498
832.7 IPS |
|
|
Object Detection (Q)
|
92% |
9463
755.4 IPS |
|
|
Face Detection (SP)
|
100% |
41230
489.9 IPS |
|
|
Face Detection (HP)
|
100% |
40149
477.1 IPS |
|
|
Face Detection (Q)
|
100% |
36658
435.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
46064
354.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48709
375.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
44915
350.8 IPS |
|
|
Style Transfer (SP)
|
100% |
227752
292.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237392
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
229215
295.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31725
1.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31851
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27316
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6304
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6571
113.6 IPS |
