MacBook Pro (16-inch, 2024)
Geekbench AI Score
5354
Single Precision Score
8984
Half Precision Score
6926
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Iceman_1975 |
| Upload Date | June 27 2025 06:21 PM |
| Views | 9 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.6 IPS |
|
|
Image Classification (Q)
|
96% |
2161
403.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3443
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16952
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31242
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23780
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
7901
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4588
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14033
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10134
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25481
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48677
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39027
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10047
371.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5616
207.4 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5242
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5537
95.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9132
157.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9028
156.0 IPS |
