MacBook Pro (16-inch, 2024)
Geekbench AI Score
24334
Single Precision Score
27156
Half Precision Score
25157
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 15 2025 05:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.44 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11510
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11533
2.14 KIPS |
|
|
Image Classification (Q)
|
96% |
10202
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24107
390.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24515
397.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23798
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
102959
120.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
112174
130.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
107675
126.1 IPS |
|
|
Object Detection (SP)
|
100% |
9087
720.8 IPS |
|
|
Object Detection (HP)
|
100% |
10995
872.1 IPS |
|
|
Object Detection (Q)
|
92% |
9672
772.0 IPS |
|
|
Face Detection (SP)
|
100% |
40965
486.7 IPS |
|
|
Face Detection (HP)
|
100% |
44187
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
37857
449.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45992
354.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48850
376.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
44073
344.3 IPS |
|
|
Style Transfer (SP)
|
100% |
220324
283.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239718
308.2 IPS |
|
|
Style Transfer (Q)
|
96% |
232211
299.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31235
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30792
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26646
983.9 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6661
114.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6981
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
