MacBook Pro (14-inch, 2024)
Geekbench AI Score
5770
Single Precision Score
36578
Half Precision Score
49461
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gandalfk7 |
| Upload Date | January 09 2025 05:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
17611
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22296
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23242
376.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32298
523.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18879
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123437
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231371
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
19693
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23574
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4529
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44648
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
55405
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8813
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111942
862.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
177176
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
36087
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237664
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302198
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7024
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46384
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77896
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4894
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6109
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15981
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
15806
273.2 IPS |
