MacBook Pro (16-inch, 2024)
Geekbench AI Score
5778
Single Precision Score
9387
Half Precision Score
7207
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zmafreak |
| Upload Date | September 28 2025 06:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
3060
569.1 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3400
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33879
39.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26644
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
8622
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4835
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15275
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10148
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30818
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57714
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43926
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9438
348.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5305
195.9 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9618
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9478
163.8 IPS |
