MacBook Pro (14-inch, 2024)
Geekbench AI Score
4656
Single Precision Score
36558
Half Precision Score
51582
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zxhsean |
| Upload Date | December 18 2024 09:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1974
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
18498
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
28055
5.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21542
349.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30015
486.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9868
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123454
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232461
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
18460
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25840
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
42759
508.1 IPS |
|
|
Face Detection (Q)
|
100% |
57834
687.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99480
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169907
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25056
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235141
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296964
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49590
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84936
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5933
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15958
274.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17781
307.3 IPS |
