MacBook Pro (16-inch, 2024)
Geekbench AI Score
5748
Single Precision Score
37423
Half Precision Score
50691
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 21 2025 06:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
17658
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22639
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23518
381.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32830
532.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17300
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122752
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230856
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2564
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
20215
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24242
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5035
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
44183
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
62952
748.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8799
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107760
830.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177756
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
30792
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237920
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
327739
422.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7088
261.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49290
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79249
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16506
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16833
290.9 IPS |
