MacBook Pro (14-inch, 2024)
Geekbench AI Score
14946
Single Precision Score
16796
Half Precision Score
15800
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edbond |
| Upload Date | April 19 2025 05:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
7028
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7329
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6825
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12319
199.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13034
211.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12190
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
46162
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48144
56.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46831
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
6535
518.4 IPS |
|
|
Object Detection (HP)
|
100% |
7360
583.8 IPS |
|
|
Object Detection (Q)
|
92% |
6671
532.5 IPS |
|
|
Face Detection (SP)
|
100% |
24196
287.5 IPS |
|
|
Face Detection (HP)
|
100% |
25594
304.1 IPS |
|
|
Face Detection (Q)
|
100% |
21360
253.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
31033
239.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33102
255.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
30237
236.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104627
134.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113191
145.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111581
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17006
628.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17289
638.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16389
605.2 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5292
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5526
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5970
103.2 IPS |
