MacBook Pro (16-inch, 2024)
Geekbench AI Score
23198
Single Precision Score
25968
Half Precision Score
24274
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | asaki2769 |
| Upload Date | April 27 2025 07:31 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10079
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10557
1.96 KIPS |
|
|
Image Classification (Q)
|
96% |
9241
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22848
370.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23857
386.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22951
372.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
105656
123.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
109124
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
105468
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
8588
681.2 IPS |
|
|
Object Detection (HP)
|
100% |
9889
784.4 IPS |
|
|
Object Detection (Q)
|
92% |
9232
736.9 IPS |
|
|
Face Detection (SP)
|
100% |
38979
463.2 IPS |
|
|
Face Detection (HP)
|
100% |
40384
479.9 IPS |
|
|
Face Detection (Q)
|
100% |
36080
428.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43972
338.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47157
363.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
43410
339.4 IPS |
|
|
Style Transfer (SP)
|
100% |
221909
285.3 IPS |
|
|
Style Transfer (HP)
|
100% |
240183
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
227088
293.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30946
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31047
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27932
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6238
107.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6541
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6487
112.1 IPS |
