MacBook Pro (14-inch, 2024)
Geekbench AI Score
5403
Single Precision Score
36886
Half Precision Score
50097
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | September 13 2025 01:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
17295
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21929
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23271
377.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32328
524.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17362
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122694
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
228941
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19877
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24477
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45500
540.6 IPS |
|
|
Face Detection (Q)
|
100% |
66105
785.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8660
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105723
814.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
177230
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26203
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237871
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304328
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46716
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79393
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5218
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16405
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16971
293.3 IPS |
