MacBook Pro (14-inch, 2024)
Geekbench AI Score
5344
Single Precision Score
37569
Half Precision Score
51350
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | platinum77 |
| Upload Date | April 01 2025 04:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17777
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22331
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22628
366.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32317
523.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17339
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
124518
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229974
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19955
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24955
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
45127
536.2 IPS |
|
|
Face Detection (Q)
|
100% |
66832
794.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113412
873.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179210
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25098
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233779
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301995
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47477
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80688
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6201
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5462
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17444
300.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17007
293.9 IPS |
