MacBook Pro (16-inch, 2024)
Geekbench AI Score
5367
Single Precision Score
8886
Half Precision Score
6942
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AltusRossouw |
| Upload Date | May 29 2025 07:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
96% |
2158
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3439
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17183
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31363
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24205
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7773
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4576
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8625
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14290
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10278
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25345
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48984
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38872
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9973
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5597
206.7 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5227
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5606
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8768
151.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8983
155.2 IPS |
