MacBook Pro (16-inch, 2024)
Geekbench AI Score
6032
Single Precision Score
9585
Half Precision Score
7326
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | studdmnky |
| Upload Date | February 18 2026 08:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2172
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
3172
589.9 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3542
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4003
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18439
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34573
40.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
27207
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (HP)
|
97% |
3953
314.7 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
8846
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
4915
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9050
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15615
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9851
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31734
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58290
74.9 IPS |
|
|
Style Transfer (Q)
|
96% |
44236
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5461
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5713
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6745
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9767
168.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9911
171.3 IPS |
