MacBook Pro (16-inch, 2024)
Geekbench AI Score
5752
Single Precision Score
8869
Half Precision Score
6865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ESPD |
| Upload Date | December 15 2024 05:29 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3014
560.5 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18680
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30933
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23974
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4561
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
7863
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4584
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8815
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14433
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10155
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35217
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50076
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38790
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7017
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9506
351.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5747
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8646
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8648
149.5 IPS |
