MacBook Pro (16-inch, 2024)
Geekbench AI Score
5758
Single Precision Score
8875
Half Precision Score
6886
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 07:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2188
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3430
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31428
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24051
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7978
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4651
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8781
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14484
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10113
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35657
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49119
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39038
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6996
258.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9495
350.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5248
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5113
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5728
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8801
152.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8808
152.2 IPS |
