MacBook Pro (14-inch, 2024)
Geekbench AI Score
5390
Single Precision Score
38022
Half Precision Score
51287
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | netnp103 |
| Upload Date | August 31 2025 03:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
17915
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22845
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23459
380.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32461
526.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17130
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122569
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229189
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
21456
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
25207
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
45793
544.1 IPS |
|
|
Face Detection (Q)
|
100% |
67252
799.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8674
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
106834
823.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
180276
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25357
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238822
307.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304576
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47721
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81121
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6070
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5723
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16886
290.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16886
291.8 IPS |
