MacBook Pro (16-inch, 2024)
Geekbench AI Score
5983
Single Precision Score
9547
Half Precision Score
7230
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 17 2025 08:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2147
400.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34707
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26399
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (HP)
|
97% |
3963
315.5 IPS |
|
|
Object Detection (Q)
|
94% |
2792
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
5243
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8576
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4830
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8915
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15636
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9669
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31217
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57588
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43588
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9627
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5475
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6652
114.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9997
172.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9911
171.3 IPS |
