MacBook Pro (14-inch, 2024)
Geekbench AI Score
9274
Single Precision Score
11196
Half Precision Score
10070
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jng27 |
| Upload Date | March 15 2025 02:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4669
868.2 IPS |
|
|
Image Classification (HP)
|
100% |
5051
939.4 IPS |
|
|
Image Classification (Q)
|
97% |
4379
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4969
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7015
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7689
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29783
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32189
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30544
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5093
404.0 IPS |
|
|
Object Detection (HP)
|
100% |
5539
439.4 IPS |
|
|
Object Detection (Q)
|
91% |
4729
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
12853
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
17005
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
12333
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21598
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23592
181.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20296
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60590
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
72541
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
67867
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12560
463.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13670
504.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10909
402.8 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2077
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2146
37.1 IPS |
