MacBook Pro (14-inch, 2024)
Geekbench AI Score
4929
Single Precision Score
7987
Half Precision Score
6392
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | AlexNst15 |
| Upload Date | March 22 2026 08:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2341
437.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9856
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19275
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16596
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4216
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7585
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4458
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14003
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9823
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24061
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38639
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31759
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5747
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5589
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7826
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7799
134.8 IPS |
