MacBook Pro (14-inch, 2024)
Geekbench AI Score
4629
Single Precision Score
36985
Half Precision Score
52437
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 17 2024 08:31 PM |
| Views | 27 |
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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
17533
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25918
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21833
353.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30261
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9835
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123295
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231819
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
18724
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26289
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3810
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
44180
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
61956
736.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100357
773.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170629
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24856
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234299
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296822
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50132
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88073
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6618
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16339
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17981
310.7 IPS |
