MacBook Pro (16-inch, 2024)
Geekbench AI Score
16905
Single Precision Score
19040
Half Precision Score
17734
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2026 08:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8020
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8421
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14477
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15163
245.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14587
236.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54428
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59419
69.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
57275
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
7261
575.9 IPS |
|
|
Object Detection (HP)
|
100% |
7482
593.5 IPS |
|
|
Object Detection (Q)
|
92% |
7033
561.4 IPS |
|
|
Face Detection (SP)
|
100% |
25703
305.4 IPS |
|
|
Face Detection (HP)
|
100% |
29898
355.3 IPS |
|
|
Face Detection (Q)
|
100% |
24454
290.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33240
256.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35253
271.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
32379
252.9 IPS |
|
|
Style Transfer (SP)
|
100% |
121014
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
135783
174.6 IPS |
|
|
Style Transfer (Q)
|
96% |
131785
170.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21261
785.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21913
809.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18867
696.7 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5865
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6294
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6272
108.4 IPS |
