MacBook Pro (16-inch, 2024)
Geekbench AI Score
16785
Single Precision Score
18487
Half Precision Score
17351
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Omar-Muhamad |
| Upload Date | June 24 2025 01:26 PM |
| Views | 9 |
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 (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7878
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8175
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7438
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14457
234.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15092
244.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14393
233.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56364
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
56899
66.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56126
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
7016
556.5 IPS |
|
|
Object Detection (HP)
|
100% |
7548
598.7 IPS |
|
|
Object Detection (Q)
|
92% |
6947
554.5 IPS |
|
|
Face Detection (SP)
|
100% |
25747
305.9 IPS |
|
|
Face Detection (HP)
|
100% |
26662
316.8 IPS |
|
|
Face Detection (Q)
|
100% |
23228
276.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33041
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34635
266.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
31702
247.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124630
160.2 IPS |
|
|
Style Transfer (HP)
|
100% |
131449
169.0 IPS |
|
|
Style Transfer (Q)
|
96% |
129197
166.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22912
846.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22773
840.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20150
744.1 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5109
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5618
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6064
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6051
104.6 IPS |
