MacBook Pro (14-inch, 2024)
Geekbench AI Score
3808
Single Precision Score
27280
Half Precision Score
36403
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 02:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
12055
2.24 KIPS |
|
|
Image Classification (Q)
|
97% |
17034
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18596
301.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22795
369.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12382
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
91345
106.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
173739
203.6 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
13249
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
17255
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
30976
368.1 IPS |
|
|
Face Detection (Q)
|
100% |
42175
501.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
82126
632.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
137918
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
19261
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
178960
230.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220976
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4162
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38877
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59096
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2063
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4533
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4421
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10487
180.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10455
180.7 IPS |
