MacBook Pro (14-inch, 2024)
Geekbench AI Score
14839
Single Precision Score
16454
Half Precision Score
15439
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 05 2025 08:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6926
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7272
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6827
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12283
199.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12892
209.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12077
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46103
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47457
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46582
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6416
508.9 IPS |
|
|
Object Detection (HP)
|
100% |
7073
561.0 IPS |
|
|
Object Detection (Q)
|
92% |
6405
511.3 IPS |
|
|
Face Detection (SP)
|
100% |
23764
282.4 IPS |
|
|
Face Detection (HP)
|
100% |
25753
306.0 IPS |
|
|
Face Detection (Q)
|
100% |
21372
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30594
235.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31452
242.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
29048
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
104804
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
109958
141.4 IPS |
|
|
Style Transfer (Q)
|
96% |
108423
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16932
625.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16634
614.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14934
551.4 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5524
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5984
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5965
103.1 IPS |
