MacBook Pro (16-inch, 2024)
Geekbench AI Score
6039
Single Precision Score
9944
Half Precision Score
7611
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | April 13 2026 09:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2140
398.1 IPS |
|
|
Image Classification (HP)
|
100% |
3129
582.0 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3424
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3893
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15735
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34171
39.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26671
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.8 IPS |
|
|
Object Detection (HP)
|
97% |
3907
311.0 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (HP)
|
100% |
8745
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
4856
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8969
69.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15326
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9693
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30087
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
57941
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44372
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9406
347.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5407
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
6269
8.37 KIPS |
|
|
Text Classification (HP)
|
99% |
9466
12.6 KIPS |
|
|
Text Classification (Q)
|
92% |
9556
12.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5973
102.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9565
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9551
165.1 IPS |
