MacBook Pro (16-inch, 2024)
Geekbench AI Score
23263
Single Precision Score
25868
Half Precision Score
24097
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Loplop |
| Upload Date | September 12 2025 08:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10042
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10148
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9249
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22775
369.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24161
391.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23301
377.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
105628
123.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107831
125.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
104603
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
8531
676.6 IPS |
|
|
Object Detection (HP)
|
100% |
10062
798.1 IPS |
|
|
Object Detection (Q)
|
92% |
9281
740.9 IPS |
|
|
Face Detection (SP)
|
100% |
37926
450.6 IPS |
|
|
Face Detection (HP)
|
100% |
41499
493.1 IPS |
|
|
Face Detection (Q)
|
100% |
33661
400.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
45209
348.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46924
361.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
42813
334.4 IPS |
|
|
Style Transfer (SP)
|
100% |
222910
286.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234869
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
221299
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31363
1.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31517
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27522
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6346
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6496
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6717
116.1 IPS |
