MacBook Pro (16-inch, 2024)
Geekbench AI Score
15375
Single Precision Score
17205
Half Precision Score
15366
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
7499
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7942
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6827
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11966
194.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12864
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13265
215.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56753
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59019
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55863
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7155
567.5 IPS |
|
|
Object Detection (HP)
|
100% |
7722
612.5 IPS |
|
|
Object Detection (Q)
|
91% |
6363
508.4 IPS |
|
|
Face Detection (SP)
|
100% |
26070
309.8 IPS |
|
|
Face Detection (HP)
|
100% |
27387
325.4 IPS |
|
|
Face Detection (Q)
|
100% |
21158
251.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33141
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35690
275.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
29463
230.3 IPS |
|
|
Style Transfer (SP)
|
100% |
123803
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134763
173.2 IPS |
|
|
Style Transfer (Q)
|
96% |
127227
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22903
845.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24295
897.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18988
701.1 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5164
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2827
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2934
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2932
50.7 IPS |
