MacBook Pro (14-inch, 2024)
Geekbench AI Score
5784
Single Precision Score
9369
Half Precision Score
7209
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2026 09:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2160
401.6 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.9 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3423
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3908
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17330
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34086
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26888
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
97% |
3886
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
8553
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4813
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8839
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15043
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9727
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30667
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57694
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43683
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9448
348.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5402
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5682
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6031
103.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9599
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9531
164.7 IPS |
