MacBook Pro (14-inch, 2024)
Geekbench AI Score
2064
Single Precision Score
36578
Half Precision Score
49120
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 06:20 PM |
| Views | 11 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.85 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
17370
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22038
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22095
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31155
505.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6872
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
116484
135.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
213566
250.3 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
100% |
16846
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
20248
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
43247
513.9 IPS |
|
|
Face Detection (Q)
|
100% |
62869
747.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101253
780.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158501
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
8431
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
226463
291.1 IPS |
|
|
Style Transfer (Q)
|
96% |
286139
369.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43973
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75646
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
7512
10.0 KIPS |
|
|
Text Classification (Q)
|
93% |
7334
9.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17382
299.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17412
300.9 IPS |
