MacBook Pro (14-inch, 2024)
Geekbench AI Score
5381
Single Precision Score
37340
Half Precision Score
49789
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | stefanichim |
| Upload Date | June 07 2025 10:12 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
18635
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
23803
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22672
367.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32372
524.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17567
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122752
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230334
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
20782
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24225
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
45820
544.4 IPS |
|
|
Face Detection (Q)
|
100% |
56740
674.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8651
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112442
866.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
182076
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25605
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238622
306.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302484
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46507
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81622
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5556
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16673
287.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16322
282.1 IPS |
