MacBook Pro (14-inch, 2024)
Geekbench AI Score
1857
Single Precision Score
27693
Half Precision Score
36687
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LoveMiku236 |
| Upload Date | November 05 2025 11:58 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 2.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
16162
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
19045
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
18774
304.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27717
449.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4479
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
94403
110.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
173272
203.1 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.5 IPS |
|
|
Object Detection (HP)
|
100% |
14069
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
16409
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2800
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
37418
444.6 IPS |
|
|
Face Detection (Q)
|
100% |
56085
666.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6484
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84720
652.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
130428
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
26313
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231540
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
274680
354.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35859
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60842
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
1798
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1743
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
13914
239.7 IPS |
|
|
Machine Translation (Q)
|
98% |
13813
238.7 IPS |
