MacBook Pro (14-inch, 2024)
Geekbench AI Score
5329
Single Precision Score
37718
Half Precision Score
53151
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | PM974 |
| Upload Date | November 07 2025 07:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
18313
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23314
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23602
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33520
543.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16967
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122791
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231537
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
20539
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25329
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
42297
502.6 IPS |
|
|
Face Detection (Q)
|
100% |
63722
757.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8591
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112644
867.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
181034
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
26417
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237095
304.8 IPS |
|
|
Style Transfer (Q)
|
96% |
305028
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5929
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47356
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83815
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
7802
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16922
291.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17065
294.9 IPS |
