MacBook Pro (14-inch, 2024)
Geekbench AI Score
15011
Single Precision Score
16786
Half Precision Score
15731
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Tolek |
| Upload Date | July 22 2025 10:45 AM |
| Views | 14 |
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% |
7074
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7507
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
6911
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12419
201.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12873
208.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12230
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46091
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47523
55.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
46738
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6545
519.2 IPS |
|
|
Object Detection (HP)
|
100% |
7345
582.6 IPS |
|
|
Object Detection (Q)
|
92% |
6577
525.0 IPS |
|
|
Face Detection (SP)
|
100% |
23332
277.2 IPS |
|
|
Face Detection (HP)
|
100% |
26055
309.6 IPS |
|
|
Face Detection (Q)
|
100% |
21827
259.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
31342
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31948
246.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
29449
230.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105073
135.1 IPS |
|
|
Style Transfer (HP)
|
100% |
110526
142.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109039
140.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17339
640.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17196
635.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15788
583.0 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5370
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6082
105.1 IPS |
