MacBook Pro (14-inch, 2024)
Geekbench AI Score
5788
Single Precision Score
36710
Half Precision Score
49422
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shreyansj |
| Upload Date | August 19 2025 01:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
17443
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21723
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23547
381.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31596
512.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17268
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122400
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230311
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
19742
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23913
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
44363
527.1 IPS |
|
|
Face Detection (Q)
|
100% |
63482
754.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8800
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103707
799.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
172392
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
30710
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
236065
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
325769
420.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47789
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77118
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3116
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5281
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5970
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15883
273.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15842
273.8 IPS |
