MacBook Pro (16-inch, 2024)
Geekbench AI Score
21060
Single Precision Score
23482
Half Precision Score
21931
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | markbyrn |
| Upload Date | July 01 2025 03:16 PM |
| Views | 8 |
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 (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9221
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
9529
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
8750
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20191
327.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21218
344.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19963
323.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80473
93.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
86154
100.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
83320
97.6 IPS |
|
|
Object Detection (SP)
|
100% |
8557
678.7 IPS |
|
|
Object Detection (HP)
|
100% |
9580
759.9 IPS |
|
|
Object Detection (Q)
|
92% |
8756
698.9 IPS |
|
|
Face Detection (SP)
|
100% |
35596
423.0 IPS |
|
|
Face Detection (HP)
|
100% |
37993
451.4 IPS |
|
|
Face Detection (Q)
|
100% |
32308
383.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43343
333.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45506
350.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
41536
324.4 IPS |
|
|
Style Transfer (SP)
|
100% |
191404
246.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203384
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
197435
254.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27147
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27137
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23870
881.4 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5773
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6200
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6199
107.1 IPS |
