MacBook Pro (14-inch, 2024)
Geekbench AI Score
5792
Single Precision Score
9362
Half Precision Score
7197
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 05:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3519
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3901
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17390
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34284
40.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26850
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
5022
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
8543
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4772
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8801
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14987
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9647
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30431
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57117
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43964
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7159
264.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9283
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5391
199.1 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5690
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9654
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9651
166.8 IPS |
