MacBook Pro (14-inch, 2024)
Geekbench AI Score
15940
Single Precision Score
17739
Half Precision Score
16670
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 14 2026 11:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7401
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7847
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
7612
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12478
202.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12883
208.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12468
202.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
44574
52.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
49526
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47814
56.0 IPS |
|
|
Object Detection (SP)
|
100% |
6918
548.7 IPS |
|
|
Object Detection (HP)
|
100% |
7067
560.6 IPS |
|
|
Object Detection (Q)
|
91% |
6949
555.4 IPS |
|
|
Face Detection (SP)
|
100% |
25593
304.1 IPS |
|
|
Face Detection (HP)
|
100% |
27685
329.0 IPS |
|
|
Face Detection (Q)
|
100% |
25359
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30931
238.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32844
253.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
30363
237.6 IPS |
|
|
Style Transfer (SP)
|
100% |
103531
133.1 IPS |
|
|
Style Transfer (HP)
|
100% |
113750
146.2 IPS |
|
|
Style Transfer (Q)
|
96% |
110725
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17189
634.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17266
637.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15532
573.5 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
7689
132.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8413
144.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
