MacBook Pro (14-inch, 2024)
Geekbench AI Score
9176
Single Precision Score
11097
Half Precision Score
10036
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 22 2024 01:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4574
850.7 IPS |
|
|
Image Classification (HP)
|
100% |
4980
926.1 IPS |
|
|
Image Classification (Q)
|
97% |
4414
823.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4969
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7032
114.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7579
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29834
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32356
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
30560
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
5421
430.0 IPS |
|
|
Object Detection (Q)
|
91% |
4646
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
12971
154.1 IPS |
|
|
Face Detection (HP)
|
100% |
16592
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
12344
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21428
165.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23576
181.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20379
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59938
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72033
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67776
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12313
454.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13724
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10731
396.3 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2219
38.4 IPS |
