MacBook Pro (16-inch, 2024)
Geekbench AI Score
5763
Single Precision Score
36715
Half Precision Score
49385
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 20 2025 07:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.9 IPS |
|
|
Image Classification (HP)
|
100% |
17685
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
21962
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23267
377.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32408
525.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18856
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123338
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229639
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
19643
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23735
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
44454
528.2 IPS |
|
|
Face Detection (Q)
|
100% |
63797
758.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110894
854.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177189
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35536
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237912
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301991
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46457
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78222
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5122
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5731
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16278
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16263
281.0 IPS |
