MacBook Pro (16-inch, 2024)
Geekbench AI Score
16410
Single Precision Score
18428
Half Precision Score
16783
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | September 09 2025 07:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
7398
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8012
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7181
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14440
234.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15124
245.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14424
233.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
54446
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59406
69.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
57127
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
7110
564.0 IPS |
|
|
Object Detection (HP)
|
100% |
7139
566.3 IPS |
|
|
Object Detection (Q)
|
92% |
6894
550.3 IPS |
|
|
Face Detection (SP)
|
100% |
25738
305.8 IPS |
|
|
Face Detection (HP)
|
100% |
29783
353.9 IPS |
|
|
Face Detection (Q)
|
100% |
24048
285.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32959
253.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34505
265.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
32330
252.5 IPS |
|
|
Style Transfer (SP)
|
100% |
120204
154.5 IPS |
|
|
Style Transfer (HP)
|
100% |
134697
173.2 IPS |
|
|
Style Transfer (Q)
|
96% |
130952
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20606
760.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20700
764.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17991
664.3 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5264
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4383
75.7 IPS |
