MacBook Pro (14-inch, 2024)
Geekbench AI Score
5735
Single Precision Score
37585
Half Precision Score
50516
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joeyyax |
| Upload Date | January 30 2025 01:51 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.47 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
18189
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
22809
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23030
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31982
518.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18745
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124756
145.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
234766
275.2 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
21112
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
23979
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
43587
517.9 IPS |
|
|
Face Detection (Q)
|
100% |
61671
732.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8790
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114420
881.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
184988
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
35677
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
241670
310.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304226
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7040
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47886
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81589
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5723
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16253
280.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16263
281.0 IPS |
