MacBook Pro (14-inch, 2024)
Geekbench AI Score
5763
Single Precision Score
38804
Half Precision Score
52685
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dodovdv |
| Upload Date | March 19 2026 11:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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% |
2147
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
19105
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
24150
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23713
384.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33610
544.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17381
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123432
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233652
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
100% |
21612
1.71 KIPS |
|
|
Object Detection (Q)
|
91% |
27056
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
45396
539.4 IPS |
|
|
Face Detection (Q)
|
100% |
65523
778.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8838
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112814
869.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
182476
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30754
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239018
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
330800
426.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52446
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82639
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5449
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5992
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18114
312.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18031
311.6 IPS |
