MacBook Pro (14-inch, 2024)
Geekbench AI Score
5790
Single Precision Score
37884
Half Precision Score
51214
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 06:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
18280
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
22296
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23658
383.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33283
539.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17338
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123424
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231762
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
20758
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24783
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5050
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
44385
527.4 IPS |
|
|
Face Detection (Q)
|
100% |
63618
755.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8815
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110889
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176488
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30477
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237637
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
330153
426.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48747
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81551
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6021
103.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17132
295.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17184
297.0 IPS |
