MacBook Pro (14-inch, 2024)
Geekbench AI Score
5775
Single Precision Score
37260
Half Precision Score
50225
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | fs36 |
| Upload Date | December 28 2025 01:09 PM |
| Views | 7 |
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% |
2138
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
17197
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21915
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23601
382.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31881
516.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17338
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122592
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230681
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
19987
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23881
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5017
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
44403
527.6 IPS |
|
|
Face Detection (Q)
|
100% |
63148
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109840
846.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176760
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
30429
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237967
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
326715
421.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49051
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78551
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6027
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16331
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16869
291.5 IPS |
