MacBook Pro (16-inch, 2024)
Geekbench AI Score
16927
Single Precision Score
19114
Half Precision Score
17716
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | B007Cyber |
| Upload Date | November 03 2025 07:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8192
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8642
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7496
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14437
234.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15126
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14460
234.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
54465
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59630
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57172
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
7087
562.2 IPS |
|
|
Object Detection (HP)
|
100% |
7763
615.7 IPS |
|
|
Object Detection (Q)
|
92% |
7069
564.3 IPS |
|
|
Face Detection (SP)
|
100% |
25983
308.7 IPS |
|
|
Face Detection (HP)
|
100% |
29817
354.3 IPS |
|
|
Face Detection (Q)
|
100% |
24254
288.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33013
254.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34857
268.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32429
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
121140
155.7 IPS |
|
|
Style Transfer (HP)
|
100% |
135424
174.1 IPS |
|
|
Style Transfer (Q)
|
96% |
131423
169.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21145
780.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21226
783.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18526
684.1 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6454
111.5 IPS |
