MacBook Pro (14-inch, 2024)
Geekbench AI Score
5377
Single Precision Score
38130
Half Precision Score
50509
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kwandrews |
| Upload Date | April 07 2025 04:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
18260
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23104
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23450
380.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32780
531.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17072
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122547
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228278
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
19914
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24018
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
45683
542.8 IPS |
|
|
Face Detection (Q)
|
100% |
58048
689.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111649
860.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180955
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25792
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238361
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303800
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46591
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81999
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5626
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16978
292.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17478
302.0 IPS |
