MacBook Pro (16-inch, 2024)
Geekbench AI Score
15664
Single Precision Score
17785
Half Precision Score
16559
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dokidoki0802 |
| Upload Date | November 06 2025 01:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7579
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
7338
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14575
236.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14367
232.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13068
211.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
48536
56.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53330
62.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
51494
60.3 IPS |
|
|
Object Detection (SP)
|
100% |
6265
496.9 IPS |
|
|
Object Detection (HP)
|
100% |
6608
524.1 IPS |
|
|
Object Detection (Q)
|
92% |
6129
489.2 IPS |
|
|
Face Detection (SP)
|
100% |
22829
271.3 IPS |
|
|
Face Detection (HP)
|
100% |
28106
334.0 IPS |
|
|
Face Detection (Q)
|
100% |
23154
275.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30592
235.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32541
250.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
30280
236.5 IPS |
|
|
Style Transfer (SP)
|
100% |
113458
145.9 IPS |
|
|
Style Transfer (HP)
|
100% |
128961
165.8 IPS |
|
|
Style Transfer (Q)
|
96% |
124814
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20305
749.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21001
775.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17977
663.8 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5919
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5881
101.6 IPS |
