MacBook Pro (16-inch, 2024)
Geekbench AI Score
5945
Single Precision Score
9504
Half Precision Score
7221
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | celticshade |
| Upload Date | February 15 2026 09:04 AM |
| Views | 15 |
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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
3067
570.4 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3532
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18015
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34365
40.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27112
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
3920
312.1 IPS |
|
|
Object Detection (Q)
|
94% |
2769
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
5245
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8733
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
4861
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9018
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15500
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9757
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31107
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
58127
74.7 IPS |
|
|
Style Transfer (Q)
|
96% |
44089
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9766
360.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5424
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6477
111.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9611
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9568
165.3 IPS |
