MacBook Pro (16-inch, 2024)
Geekbench AI Score
5736
Single Precision Score
9369
Half Precision Score
7229
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 21 2025 06:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.6 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17134
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33984
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26754
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2776
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
4996
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4806
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14947
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10160
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30562
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57280
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
43747
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9297
343.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5372
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5724
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5699
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5699
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9302
160.8 IPS |
