MacBook Pro (16-inch, 2024)
Geekbench AI Score
16843
Single Precision Score
18587
Half Precision Score
17374
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | September 11 2025 07:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
7739
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8651
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7428
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14498
235.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15072
244.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14184
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56392
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
56866
66.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56123
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
6810
540.2 IPS |
|
|
Object Detection (HP)
|
100% |
7473
592.8 IPS |
|
|
Object Detection (Q)
|
92% |
6906
551.2 IPS |
|
|
Face Detection (SP)
|
100% |
26779
318.2 IPS |
|
|
Face Detection (HP)
|
100% |
29008
344.7 IPS |
|
|
Face Detection (Q)
|
100% |
24072
286.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32984
254.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34540
266.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
32225
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124030
159.4 IPS |
|
|
Style Transfer (HP)
|
100% |
132879
170.8 IPS |
|
|
Style Transfer (Q)
|
96% |
129265
166.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22843
843.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21271
785.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19628
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5119
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5865
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6071
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6094
105.3 IPS |
