MacBook Pro (14-inch, 2024)
Geekbench AI Score
6066
Single Precision Score
42266
Half Precision Score
57701
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | April 16 2026 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
2133
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
20689
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
26121
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24046
389.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
34895
565.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15765
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
124460
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
234880
275.3 IPS |
|
|
Object Detection (SP)
|
100% |
2705
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
22461
1.78 KIPS |
|
|
Object Detection (Q)
|
89% |
27684
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
47831
568.3 IPS |
|
|
Face Detection (Q)
|
100% |
74028
879.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8973
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114343
880.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
190048
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
30142
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242235
311.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302530
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52932
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87872
3.24 KIPS |
|
|
Text Classification (SP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (HP)
|
99% |
10011
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
9666
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5958
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18636
321.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19096
330.0 IPS |
