MacBook Pro (16-inch, 2024)
Geekbench AI Score
16744
Single Precision Score
18465
Half Precision Score
17507
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sandsaber |
| Upload Date | June 10 2025 03:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7677
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8294
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14607
236.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15140
245.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14441
234.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56494
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56911
66.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56309
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
7020
556.8 IPS |
|
|
Object Detection (HP)
|
100% |
7570
600.5 IPS |
|
|
Object Detection (Q)
|
92% |
6900
550.7 IPS |
|
|
Face Detection (SP)
|
100% |
25870
307.4 IPS |
|
|
Face Detection (HP)
|
100% |
28155
334.5 IPS |
|
|
Face Detection (Q)
|
100% |
24305
288.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33172
255.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34680
267.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31645
247.2 IPS |
|
|
Style Transfer (SP)
|
100% |
124115
159.6 IPS |
|
|
Style Transfer (HP)
|
100% |
131992
169.7 IPS |
|
|
Style Transfer (Q)
|
96% |
128758
166.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22679
837.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21076
778.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20521
757.8 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5587
96.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5975
103.3 IPS |
