MacBook Pro (14-inch, 2024) GPU MacBook Pro (14-inch, 2024)
Geekbench AI Score
10738
Single Precision Score
12809
Half Precision Score
12106
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:05 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
5042
937.7 IPS |
|
|
Image Classification (HP)
|
100% |
5295
984.7 IPS |
|
|
Image Classification (Q)
|
96% |
5041
941.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7554
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8475
137.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8149
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28875
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33083
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32209
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
5046
400.3 IPS |
|
|
Object Detection (HP)
|
100% |
5589
443.3 IPS |
|
|
Object Detection (Q)
|
91% |
5414
432.7 IPS |
|
|
Face Detection (SP)
|
100% |
13268
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
18591
220.9 IPS |
|
|
Face Detection (Q)
|
100% |
17008
202.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21062
162.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23634
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22325
174.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58932
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
73182
94.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69989
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11877
438.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12420
458.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10846
400.5 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5789
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5705
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5585
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5743
99.3 IPS |
