MacBook Pro (14-inch, 2024)
Geekbench AI Score
10837
Single Precision Score
12867
Half Precision Score
12270
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 11 2026 01:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5123
952.7 IPS |
|
|
Image Classification (HP)
|
100% |
5364
997.6 IPS |
|
|
Image Classification (Q)
|
96% |
5172
965.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7630
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8531
138.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8250
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28906
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33266
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32281
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
5034
399.3 IPS |
|
|
Object Detection (HP)
|
100% |
5542
439.6 IPS |
|
|
Object Detection (Q)
|
91% |
5438
434.6 IPS |
|
|
Face Detection (SP)
|
100% |
13223
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
18405
218.7 IPS |
|
|
Face Detection (Q)
|
100% |
17095
203.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21366
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23975
184.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22610
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59344
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73392
94.3 IPS |
|
|
Style Transfer (Q)
|
96% |
70320
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12105
447.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12622
466.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11147
411.6 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5678
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6184
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5769
99.7 IPS |
