MacBook Pro (16-inch, 2024)
Geekbench AI Score
24230
Single Precision Score
27195
Half Precision Score
25143
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | September 20 2025 10:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
10976
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
11027
2.05 KIPS |
|
|
Image Classification (Q)
|
96% |
10019
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23783
385.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24970
404.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23827
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
102731
119.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
112042
130.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
107470
125.9 IPS |
|
|
Object Detection (SP)
|
100% |
9463
750.6 IPS |
|
|
Object Detection (HP)
|
100% |
10803
856.9 IPS |
|
|
Object Detection (Q)
|
92% |
9668
771.7 IPS |
|
|
Face Detection (SP)
|
100% |
40938
486.4 IPS |
|
|
Face Detection (HP)
|
100% |
44333
526.8 IPS |
|
|
Face Detection (Q)
|
100% |
36726
436.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44689
344.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48311
372.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
43955
343.3 IPS |
|
|
Style Transfer (SP)
|
100% |
220353
283.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239202
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
230963
298.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30781
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31756
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27230
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5721
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6727
115.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7133
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
