MacBook Pro (14-inch, 2024)
Geekbench AI Score
5775
Single Precision Score
36706
Half Precision Score
49829
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SrgntK66 |
| Upload Date | March 06 2025 05:58 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
17025
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
21817
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23214
376.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32260
523.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18831
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123106
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230640
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19645
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23724
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4557
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
44528
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
64950
771.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8822
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112057
863.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177061
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35290
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235751
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302213
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7043
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46680
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77220
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16387
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16889
291.9 IPS |
