MacBook Pro (14-inch, 2024)
Geekbench AI Score
15177
Single Precision Score
17120
Half Precision Score
15943
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jokester01au |
| Upload Date | December 20 2025 09:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7197
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7876
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
7093
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12513
202.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12984
210.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12409
201.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44165
51.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49575
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
47746
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6800
539.4 IPS |
|
|
Object Detection (HP)
|
100% |
6986
554.1 IPS |
|
|
Object Detection (Q)
|
92% |
6623
528.7 IPS |
|
|
Face Detection (SP)
|
100% |
23855
283.4 IPS |
|
|
Face Detection (HP)
|
100% |
26385
313.5 IPS |
|
|
Face Detection (Q)
|
100% |
21553
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30957
238.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32408
249.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
30677
239.6 IPS |
|
|
Style Transfer (SP)
|
100% |
102323
131.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113863
146.4 IPS |
|
|
Style Transfer (Q)
|
96% |
110086
142.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16899
624.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17862
659.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15123
558.4 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5653
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5820
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6212
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6154
106.4 IPS |
