MacBook Pro (14-inch, 2024)
Geekbench AI Score
5369
Single Precision Score
37181
Half Precision Score
50194
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 02:58 PM |
| Views | 8 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17526
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22071
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23225
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32041
519.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17349
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122628
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228330
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
19797
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23631
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45452
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
63794
758.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111690
860.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
176325
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25233
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
238552
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303695
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46777
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78581
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5988
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5617
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16530
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16551
286.0 IPS |
