MacBook Pro (14-inch, 2024)
Geekbench AI Score
5390
Single Precision Score
37498
Half Precision Score
50018
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 06 2025 07:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17511
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
21941
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23089
374.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32428
525.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17355
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122686
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230197
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
19576
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23977
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4709
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
45653
542.5 IPS |
|
|
Face Detection (Q)
|
100% |
66223
786.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111649
860.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177293
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25882
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237706
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302754
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46949
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78333
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5597
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16542
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16365
282.8 IPS |
