MacBook Pro (14-inch, 2024)
Geekbench AI Score
9229
Single Precision Score
11119
Half Precision Score
10026
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
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% |
4581
851.9 IPS |
|
|
Image Classification (HP)
|
100% |
4960
922.4 IPS |
|
|
Image Classification (Q)
|
97% |
4366
814.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4980
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7575
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29891
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31970
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30506
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4959
393.3 IPS |
|
|
Object Detection (HP)
|
100% |
5443
431.8 IPS |
|
|
Object Detection (Q)
|
91% |
4641
370.8 IPS |
|
|
Face Detection (SP)
|
100% |
12987
154.3 IPS |
|
|
Face Detection (HP)
|
100% |
16608
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
12162
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21510
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23520
181.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20396
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
60222
77.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71837
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68068
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12464
460.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10720
395.8 IPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2219
38.4 IPS |
