MacBook Pro (16-inch, 2024)
Geekbench AI Score
22390
Single Precision Score
25039
Half Precision Score
23373
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | darrotta |
| Upload Date | July 30 2025 05:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8968
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9776
1.82 KIPS |
|
|
Image Classification (Q)
|
96% |
8773
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23115
374.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23869
386.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22924
371.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
102757
119.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
110872
129.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
106354
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
8731
692.5 IPS |
|
|
Object Detection (HP)
|
100% |
9221
731.4 IPS |
|
|
Object Detection (Q)
|
92% |
8930
712.8 IPS |
|
|
Face Detection (SP)
|
100% |
38500
457.5 IPS |
|
|
Face Detection (HP)
|
100% |
42090
500.1 IPS |
|
|
Face Detection (Q)
|
100% |
35443
421.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42692
328.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45577
351.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
41507
324.2 IPS |
|
|
Style Transfer (SP)
|
100% |
214737
276.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235541
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
226463
292.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28914
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29648
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25720
949.7 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5331
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5661
97.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5579
96.4 IPS |
