MacBook Pro (14-inch, 2024)
Geekbench AI Score
5803
Single Precision Score
37203
Half Precision Score
49984
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | bogdangolub |
| Upload Date | January 06 2026 02:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2158
401.3 IPS |
|
|
Image Classification (HP)
|
100% |
17276
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21473
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23503
381.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32679
529.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17334
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122544
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230905
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
100% |
19622
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24151
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
44258
525.9 IPS |
|
|
Face Detection (Q)
|
100% |
62806
746.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8839
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106210
818.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174992
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30602
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237035
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
326958
421.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48589
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77722
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16927
291.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16322
282.1 IPS |
