MacBook Pro (14-inch, 2024)
Geekbench AI Score
14935
Single Precision Score
16572
Half Precision Score
15528
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | basically_angel |
| Upload Date | May 13 2025 07:05 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
6985
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7434
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
6821
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12324
199.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12884
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12193
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45753
53.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47270
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46573
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6893
546.8 IPS |
|
|
Object Detection (HP)
|
100% |
7159
567.8 IPS |
|
|
Object Detection (Q)
|
92% |
6415
512.1 IPS |
|
|
Face Detection (SP)
|
100% |
22644
269.1 IPS |
|
|
Face Detection (HP)
|
100% |
24228
287.9 IPS |
|
|
Face Detection (Q)
|
100% |
21356
253.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30869
237.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31886
245.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
29296
228.8 IPS |
|
|
Style Transfer (SP)
|
100% |
104652
134.5 IPS |
|
|
Style Transfer (HP)
|
100% |
110541
142.1 IPS |
|
|
Style Transfer (Q)
|
96% |
106039
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16779
619.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17150
633.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15230
562.4 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5315
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5677
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6162
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6108
105.6 IPS |
