MacBook Pro (14-inch, 2024)
Geekbench AI Score
5379
Single Precision Score
37456
Half Precision Score
51006
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Tolek |
| Upload Date | July 22 2025 10:51 AM |
| Views | 6 |
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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
18417
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25182
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23985
388.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32401
525.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17304
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122667
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228797
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
20820
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
25457
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
44767
531.9 IPS |
|
|
Face Detection (Q)
|
100% |
66495
790.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111752
861.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179610
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25875
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239869
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303876
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47194
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80028
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5271
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16143
278.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16361
282.7 IPS |
