MacBook Pro (14-inch, 2024)
Geekbench AI Score
15597
Single Precision Score
17764
Half Precision Score
15638
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 22 2025 11:32 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7757
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8559
1.59 KIPS |
|
|
Image Classification (Q)
|
97% |
7137
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12284
199.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13459
218.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13511
219.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56993
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59248
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
56115
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7339
582.1 IPS |
|
|
Object Detection (HP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (Q)
|
91% |
6321
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
25643
304.7 IPS |
|
|
Face Detection (HP)
|
100% |
28918
343.6 IPS |
|
|
Face Detection (Q)
|
100% |
20774
246.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33823
260.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
36585
281.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
30568
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124537
160.1 IPS |
|
|
Style Transfer (HP)
|
100% |
139146
178.9 IPS |
|
|
Style Transfer (Q)
|
96% |
129755
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23478
866.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24988
922.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19869
733.7 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5357
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2898
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3002
51.9 IPS |
