MacBook Pro (14-inch, 2024)
Geekbench AI Score
4707
Single Precision Score
38133
Half Precision Score
54154
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 02:55 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
18679
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27740
5.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22438
363.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31027
503.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9877
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123141
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232749
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
19436
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27017
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3832
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
44656
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
65320
776.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8259
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100416
773.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170170
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237900
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303271
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50723
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88609
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6912
9.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6945
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17332
298.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19322
333.9 IPS |
